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[FreeCourseSite.com] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

Magnet Download Download Torrent
File Name
Size
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.mp4
49 MB
1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.vtt
5.6 kB
1. Part 1 Introduction/2. What Does the Course Cover.mp4
62 MB
1. Part 1 Introduction/2. What Does the Course Cover.vtt
4.5 kB
1. Part 1 Introduction/3. Download All Resources and Important FAQ.html
21 kB
1. Part 1 Introduction/3.1 Download All Resources.html
134 B
1. Part 1 Introduction/3.2 FAQ_The_Data_Science_Course.pdf.pdf
306 kB
10. Combinatorics/1. Fundamentals of Combinatorics.mp4
16 MB
10. Combinatorics/1. Fundamentals of Combinatorics.vtt
1.2 kB
10. Combinatorics/1.1 Course Notes - Combinatorics.pdf.pdf
226 kB
10. Combinatorics/10. Solving Variations without Repetition.html
158 B
10. Combinatorics/11. Solving Combinations.mp4
57 MB
10. Combinatorics/11. Solving Combinations.vtt
5.0 kB
10. Combinatorics/11.1 Combinations With Repetition.pdf.pdf
207 kB
10. Combinatorics/12. Solving Combinations.html
158 B
10. Combinatorics/13. Symmetry of Combinations.mp4
39 MB
10. Combinatorics/13. Symmetry of Combinations.vtt
3.8 kB
10. Combinatorics/13.1 Symmetry Explained.pdf.pdf
85 kB
10. Combinatorics/14. Symmetry of Combinations.html
158 B
10. Combinatorics/15. Solving Combinations with Separate Sample Spaces.mp4
33 MB
10. Combinatorics/15. Solving Combinations with Separate Sample Spaces.vtt
3.3 kB
10. Combinatorics/16. Solving Combinations with Separate Sample Spaces.html
158 B
10. Combinatorics/17. Combinatorics in Real-Life The Lottery.mp4
39 MB
10. Combinatorics/17. Combinatorics in Real-Life The Lottery.vtt
3.6 kB
10. Combinatorics/18. Combinatorics in Real-Life The Lottery.html
158 B
10. Combinatorics/19. A Recap of Combinatorics.mp4
41 MB
10. Combinatorics/19. A Recap of Combinatorics.vtt
3.3 kB
10. Combinatorics/2. Fundamentals of Combinatorics.html
158 B
10. Combinatorics/20. A Practical Example of Combinatorics.mp4
134 MB
10. Combinatorics/20. A Practical Example of Combinatorics.vtt
12 kB
10. Combinatorics/3. Permutations and How to Use Them.mp4
42 MB
10. Combinatorics/3. Permutations and How to Use Them.vtt
3.6 kB
10. Combinatorics/4. Permutations and How to Use Them.html
158 B
10. Combinatorics/5. Simple Operations with Factorials.mp4
36 MB
10. Combinatorics/5. Simple Operations with Factorials.vtt
30 MB
10. Combinatorics/6. Simple Operations with Factorials.html
158 B
10. Combinatorics/7. Solving Variations with Repetition.mp4
34 MB
10. Combinatorics/7. Solving Variations with Repetition.vtt
3.1 kB
10. Combinatorics/8. Solving Variations with Repetition.html
158 B
10. Combinatorics/9. Solving Variations without Repetition.mp4
43 MB
10. Combinatorics/9. Solving Variations without Repetition.vtt
4.0 kB
11. Bayesian Inference/1. Sets and Events.mp4
54 MB
11. Bayesian Inference/1. Sets and Events.vtt
4.5 kB
11. Bayesian Inference/1.1 Course Notes - Bayesian Inference.pdf.pdf
386 kB
11. Bayesian Inference/10. Mutually Exclusive Sets.html
158 B
11. Bayesian Inference/11. Dependence and Independence of Sets.mp4
35 MB
11. Bayesian Inference/11. Dependence and Independence of Sets.vtt
3.0 kB
11. Bayesian Inference/12. Dependence and Independence of Sets.html
158 B
11. Bayesian Inference/13. The Conditional Probability Formula.mp4
46 MB
11. Bayesian Inference/13. The Conditional Probability Formula.vtt
4.4 kB
11. Bayesian Inference/14. The Conditional Probability Formula.html
158 B
11. Bayesian Inference/15. The Law of Total Probability.mp4
35 MB
11. Bayesian Inference/15. The Law of Total Probability.vtt
3.1 kB
11. Bayesian Inference/16. The Additive Rule.mp4
26 MB
11. Bayesian Inference/16. The Additive Rule.vtt
2.4 kB
11. Bayesian Inference/17. The Additive Rule.html
158 B
11. Bayesian Inference/18. The Multiplication Law.mp4
43 MB
11. Bayesian Inference/18. The Multiplication Law.vtt
4.1 kB
11. Bayesian Inference/19. The Multiplication Law.html
158 B
11. Bayesian Inference/2. Sets and Events.html
158 B
11. Bayesian Inference/20. Bayes' Law.mp4
60 MB
11. Bayesian Inference/20. Bayes' Law.vtt
6.4 kB
11. Bayesian Inference/21. Bayes' Law.html
158 B
11. Bayesian Inference/3. Ways Sets Can Interact.mp4
45 MB
11. Bayesian Inference/3. Ways Sets Can Interact.vtt
3.9 kB
11. Bayesian Inference/4. Ways Sets Can Interact.html
158 B
11. Bayesian Inference/5. Intersection of Sets.mp4
27 MB
11. Bayesian Inference/5. Intersection of Sets.vtt
2.2 kB
11. Bayesian Inference/6. Intersection of Sets.html
158 B
11. Bayesian Inference/7. Union of Sets.mp4
57 MB
11. Bayesian Inference/7. Union of Sets.vtt
5.0 kB
11. Bayesian Inference/8. Union of Sets.html
158 B
11. Bayesian Inference/9. Mutually Exclusive Sets.mp4
25 MB
11. Bayesian Inference/9. Mutually Exclusive Sets.vtt
2.2 kB
12. Probability Distributions/1. Fundamentals of Probability Distributions.mp4
73 MB
12. Probability Distributions/1. Fundamentals of Probability Distributions.vtt
6.7 kB
12. Probability Distributions/1.1 Course Notes - Probability Distributions.pdf.pdf
456 kB
12. Probability Distributions/10. Discrete Distributions The Bernoulli Distribution.html
158 B
12. Probability Distributions/11. Discrete Distributions The Binomial Distribution.mp4
66 MB
12. Probability Distributions/11. Discrete Distributions The Binomial Distribution.vtt
7.4 kB
12. Probability Distributions/12. Discrete Distributions The Binomial Distribution.html
158 B
12. Probability Distributions/13. Discrete Distributions The Poisson Distribution.mp4
58 MB
12. Probability Distributions/13. Discrete Distributions The Poisson Distribution.vtt
5.8 kB
12. Probability Distributions/14. Discrete Distributions The Poisson Distribution.html
158 B
12. Probability Distributions/15. Characteristics of Continuous Distributions.mp4
80 MB
12. Probability Distributions/15. Characteristics of Continuous Distributions.vtt
7.6 kB
12. Probability Distributions/15.1 Solving Integrals.pdf.pdf
344 kB
12. Probability Distributions/16. Characteristics of Continuous Distributions.html
158 B
12. Probability Distributions/17. Continuous Distributions The Normal Distribution.mp4
48 MB
12. Probability Distributions/17. Continuous Distributions The Normal Distribution.vtt
4.2 kB
12. Probability Distributions/17.1 Normal Distribution - Exp and Var.pdf.pdf
144 kB
12. Probability Distributions/18. Continuous Distributions The Normal Distribution.html
158 B
12. Probability Distributions/19. Continuous Distributions The Standard Normal Distribution.mp4
48 MB
12. Probability Distributions/19. Continuous Distributions The Standard Normal Distribution.vtt
4.7 kB
12. Probability Distributions/2. Fundamentals of Probability Distributions.html
158 B
12. Probability Distributions/20. Continuous Distributions The Standard Normal Distribution.html
158 B
12. Probability Distributions/21. Continuous Distributions The Students' T Distribution.mp4
27 MB
12. Probability Distributions/21. Continuous Distributions The Students' T Distribution.vtt
2.5 kB
12. Probability Distributions/22. Continuous Distributions The Students' T Distribution.html
158 B
12. Probability Distributions/23. Continuous Distributions The Chi-Squared Distribution.mp4
26 MB
12. Probability Distributions/23. Continuous Distributions The Chi-Squared Distribution.vtt
2.5 kB
12. Probability Distributions/24. Continuous Distributions The Chi-Squared Distribution.html
158 B
12. Probability Distributions/25. Continuous Distributions The Exponential Distribution.mp4
40 MB
12. Probability Distributions/25. Continuous Distributions The Exponential Distribution.vtt
3.7 kB
12. Probability Distributions/26. Continuous Distributions The Exponential Distribution.html
158 B
12. Probability Distributions/27. Continuous Distributions The Logistic Distribution.mp4
47 MB
12. Probability Distributions/27. Continuous Distributions The Logistic Distribution.vtt
4.5 kB
12. Probability Distributions/28. Continuous Distributions The Logistic Distribution.html
158 B
12. Probability Distributions/3. Types of Probability Distributions.mp4
92 MB
12. Probability Distributions/3. Types of Probability Distributions.vtt
8.3 kB
12. Probability Distributions/4. Types of Probability Distributions.html
158 B
12. Probability Distributions/5. Characteristics of Discrete Distributions.mp4
23 MB
12. Probability Distributions/5. Characteristics of Discrete Distributions.vtt
2.2 kB
12. Probability Distributions/6. Characteristics of Discrete Distributions.html
158 B
12. Probability Distributions/7. Discrete Distributions The Uniform Distribution.mp4
24 MB
12. Probability Distributions/7. Discrete Distributions The Uniform Distribution.vtt
2.4 kB
12. Probability Distributions/8. Discrete Distributions The Uniform Distribution.html
158 B
12. Probability Distributions/9. Discrete Distributions The Bernoulli Distribution.mp4
34 MB
12. Probability Distributions/9. Discrete Distributions The Bernoulli Distribution.vtt
3.5 kB
13. Probability in Other Fields/1. Probability in Finance.mp4
99 MB
13. Probability in Other Fields/1. Probability in Finance.vtt
8.7 kB
13. Probability in Other Fields/2. Probability in Statistics.mp4
77 MB
13. Probability in Other Fields/2. Probability in Statistics.vtt
7.5 kB
13. Probability in Other Fields/3. Probability in Data Science.mp4
64 MB
13. Probability in Other Fields/3. Probability in Data Science.vtt
5.9 kB
14. Part 3 Statistics/1. Population and Sample.mp4
58 MB
14. Part 3 Statistics/1. Population and Sample.vtt
4.8 kB
14. Part 3 Statistics/1.1 Statistics Glossary.xlsx.xlsx
20 kB
14. Part 3 Statistics/1.2 Course notes_descriptive_statistics.pdf.pdf
482 kB
14. Part 3 Statistics/2. Population and Sample.html
158 B
15. Statistics - Descriptive Statistics/1. Types of Data.mp4
72 MB
15. Statistics - Descriptive Statistics/1. Types of Data.vtt
5.2 kB
15. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf
482 kB
15. Statistics - Descriptive Statistics/10. Numerical Variables Exercise.html
81 B
15. Statistics - Descriptive Statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx
13 kB
15. Statistics - Descriptive Statistics/10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx
12 kB
15. Statistics - Descriptive Statistics/11. The Histogram.mp4
14 MB
15. Statistics - Descriptive Statistics/11. The Histogram.vtt
2.7 kB
15. Statistics - Descriptive Statistics/11.1 2.5. The Histogram_lesson.xlsx.xlsx
19 kB
15. Statistics - Descriptive Statistics/12. The Histogram.html
158 B
15. Statistics - Descriptive Statistics/13. Histogram Exercise.html
81 B
15. Statistics - Descriptive Statistics/13.1 2.5.The-Histogram-exercise-solution.xlsx.xlsx
17 kB
15. Statistics - Descriptive Statistics/13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf
289 kB
15. Statistics - Descriptive Statistics/13.3 2.5.The-Histogram-exercise.xlsx.xlsx
16 kB
15. Statistics - Descriptive Statistics/14. Cross Tables and Scatter Plots.mp4
40 MB
15. Statistics - Descriptive Statistics/14. Cross Tables and Scatter Plots.vtt
5.9 kB
15. Statistics - Descriptive Statistics/14.1 2.6. Cross table and scatter plot.xlsx.xlsx
26 kB
15. Statistics - Descriptive Statistics/15. Cross Tables and Scatter Plots.html
158 B
15. Statistics - Descriptive Statistics/16. Cross Tables and Scatter Plots Exercise.html
81 B
15. Statistics - Descriptive Statistics/16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx
16 kB
15. Statistics - Descriptive Statistics/16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx
40 kB
15. Statistics - Descriptive Statistics/17. Mean, median and mode.mp4
37 MB
15. Statistics - Descriptive Statistics/17. Mean, median and mode.vtt
5.0 kB
15. Statistics - Descriptive Statistics/17.1 2.7. Mean, median and mode_lesson.xlsx.xlsx
10 kB
15. Statistics - Descriptive Statistics/18. Mean, Median and Mode Exercise.html
81 B
15. Statistics - Descriptive Statistics/18.1 2.7. Mean, median and mode_exercise.xlsx.xlsx
11 kB
15. Statistics - Descriptive Statistics/18.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx
11 kB
15. Statistics - Descriptive Statistics/19. Skewness.mp4
19 MB
15. Statistics - Descriptive Statistics/19. Skewness.vtt
3.2 kB
15. Statistics - Descriptive Statistics/19.1 2.8. Skewness_lesson.xlsx.xlsx
35 kB
15. Statistics - Descriptive Statistics/2. Types of Data.html
158 B
15. Statistics - Descriptive Statistics/20. Skewness.html
158 B
15. Statistics - Descriptive Statistics/21. Skewness Exercise.html
81 B
15. Statistics - Descriptive Statistics/21.1 2.8. Skewness_exercise.xlsx.xlsx
9.5 kB
15. Statistics - Descriptive Statistics/21.2 2.8. Skewness_exercise_solution.xlsx.xlsx
20 kB
15. Statistics - Descriptive Statistics/22. Variance.mp4
51 MB
15. Statistics - Descriptive Statistics/22. Variance.vtt
6.6 kB
15. Statistics - Descriptive Statistics/22.1 2.9. Variance_lesson.xlsx.xlsx
10 kB
15. Statistics - Descriptive Statistics/23. Variance Exercise.html
522 B
15. Statistics - Descriptive Statistics/23.1 2.9. Variance_exercise.xlsx.xlsx
11 kB
15. Statistics - Descriptive Statistics/23.2 2.9. Variance_exercise_solution.xlsx.xlsx
11 kB
15. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp4
45 MB
15. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.vtt
5.8 kB
15. Statistics - Descriptive Statistics/24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx
11 kB
15. Statistics - Descriptive Statistics/25. Standard Deviation.html
158 B
15. Statistics - Descriptive Statistics/26. Standard Deviation and Coefficient of Variation Exercise.html
81 B
15. Statistics - Descriptive Statistics/26.1 2.10. Standard deviation and coefficient of variation_exercise_solution.xlsx.xlsx
12 kB
15. Statistics - Descriptive Statistics/26.2 2.10. Standard deviation and coefficient of variation_exercise.xlsx.xlsx
11 kB
15. Statistics - Descriptive Statistics/27. Covariance.mp4
28 MB
15. Statistics - Descriptive Statistics/27. Covariance.vtt
4.3 kB
15. Statistics - Descriptive Statistics/27.1 2.11. Covariance_lesson.xlsx.xlsx
25 kB
15. Statistics - Descriptive Statistics/28. Covariance.html
158 B
15. Statistics - Descriptive Statistics/29. Covariance Exercise.html
81 B
15. Statistics - Descriptive Statistics/29.1 2.11. Covariance_exercise.xlsx.xlsx
20 kB
15. Statistics - Descriptive Statistics/29.2 2.11. Covariance_exercise_solution.xlsx.xlsx
30 kB
15. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4
54 MB
15. Statistics - Descriptive Statistics/3. Levels of Measurement.vtt
4.0 kB
15. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4
29 MB
15. Statistics - Descriptive Statistics/30. Correlation Coefficient.vtt
4.1 kB
15. Statistics - Descriptive Statistics/31. Correlation.html
158 B
15. Statistics - Descriptive Statistics/32. Correlation Coefficient Exercise.html
81 B
15. Statistics - Descriptive Statistics/32.1 2.12. Correlation_exercise.xlsx.xlsx
29 kB
15. Statistics - Descriptive Statistics/32.2 2.12. Correlation_exercise_solution.xlsx.xlsx
30 kB
15. Statistics - Descriptive Statistics/4. Levels of Measurement.html
158 B
15. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4
38 MB
15. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.vtt
5.7 kB
15. Statistics - Descriptive Statistics/5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx
31 kB
15. Statistics - Descriptive Statistics/6. Categorical Variables - Visualization Techniques.html
158 B
15. Statistics - Descriptive Statistics/7. Categorical Variables Exercise.html
81 B
15. Statistics - Descriptive Statistics/7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx
15 kB
15. Statistics - Descriptive Statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx
41 kB
15. Statistics - Descriptive Statistics/7.3 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf
289 kB
15. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4
26 MB
15. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.vtt
3.8 kB
15. Statistics - Descriptive Statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx
11 kB
15. Statistics - Descriptive Statistics/9. Numerical Variables - Frequency Distribution Table.html
158 B
16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4
160 MB
16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.vtt
18 kB
16. Statistics - Practical Example Descriptive Statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx
146 kB
16. Statistics - Practical Example Descriptive Statistics/2. Practical Example Descriptive Statistics Exercise.html
81 B
16. Statistics - Practical Example Descriptive Statistics/2.1 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx
120 kB
16. Statistics - Practical Example Descriptive Statistics/2.2 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx
146 kB
17. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4
16 MB
17. Statistics - Inferential Statistics Fundamentals/1. Introduction.vtt
1.4 kB
17. Statistics - Inferential Statistics Fundamentals/1.1 Course notes_inferential statistics.pdf.pdf
382 kB
17. Statistics - Inferential Statistics Fundamentals/10. Central Limit Theorem.html
158 B
17. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp4
23 MB
17. Statistics - Inferential Statistics Fundamentals/11. Standard error.vtt
1.8 kB
17. Statistics - Inferential Statistics Fundamentals/12. Standard Error.html
158 B
17. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp4
48 MB
17. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.vtt
3.3 kB
17. Statistics - Inferential Statistics Fundamentals/14. Estimators and Estimates.html
158 B
17. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4
62 MB
17. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.vtt
5.1 kB
17. Statistics - Inferential Statistics Fundamentals/2.1 3.2. What is a distribution_lesson.xlsx.xlsx
20 kB
17. Statistics - Inferential Statistics Fundamentals/2.2 Course notes_inferential statistics.pdf.pdf
382 kB
17. Statistics - Inferential Statistics Fundamentals/3. What is a Distribution.html
158 B
17. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4
50 MB
17. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.vtt
4.3 kB
17. Statistics - Inferential Statistics Fundamentals/5. The Normal Distribution.html
158 B
17. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4
22 MB
17. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.vtt
3.4 kB
17. Statistics - Inferential Statistics Fundamentals/6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx
10 kB
17. Statistics - Inferential Statistics Fundamentals/7. The Standard Normal Distribution.html
158 B
17. Statistics - Inferential Statistics Fundamentals/8. The Standard Normal Distribution Exercise.html
81 B
17. Statistics - Inferential Statistics Fundamentals/8.1 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx
24 kB
17. Statistics - Inferential Statistics Fundamentals/8.2 3.4.Standard-normal-distribution-exercise.xlsx.xlsx
12 kB
17. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4
63 MB
17. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.vtt
5.0 kB
18. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp4
50 MB
18. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.vtt
2.9 kB
18. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4
59 MB
18. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.vtt
5.4 kB
18. Statistics - Inferential Statistics Confidence Intervals/11. Margin of Error.html
158 B
18. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4
70 MB
18. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.vtt
7.1 kB
18. Statistics - Inferential Statistics Confidence Intervals/12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx
10 kB
18. Statistics - Inferential Statistics Confidence Intervals/13. Confidence intervals. Two means. Dependent samples Exercise.html
81 B
18. Statistics - Inferential Statistics Confidence Intervals/13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx
14 kB
18. Statistics - Inferential Statistics Confidence Intervals/13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx
14 kB
18. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp4
29 MB
18. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).vtt
5.3 kB
18. Statistics - Inferential Statistics Confidence Intervals/14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx
9.8 kB
18. Statistics - Inferential Statistics Confidence Intervals/15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html
81 B
18. Statistics - Inferential Statistics Confidence Intervals/15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx
10 kB
18. Statistics - Inferential Statistics Confidence Intervals/15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx
9.8 kB
18. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp4
27 MB
18. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).vtt
4.0 kB
18. Statistics - Inferential Statistics Confidence Intervals/16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx
9.5 kB
18. Statistics - Inferential Statistics Confidence Intervals/17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html
81 B
18. Statistics - Inferential Statistics Confidence Intervals/17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx
9.2 kB
18. Statistics - Inferential Statistics Confidence Intervals/17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx
9.8 kB
18. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp4
20 MB
18. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).vtt
1.7 kB
18. Statistics - Inferential Statistics Confidence Intervals/2. What are Confidence Intervals.html
158 B
18. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4
78 MB
18. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.vtt
8.6 kB
18. Statistics - Inferential Statistics Confidence Intervals/3.1 3.9. Population variance known, z-score_lesson.xlsx.xlsx
11 kB
18. Statistics - Inferential Statistics Confidence Intervals/3.2 3.9.The-z-table.xlsx.xlsx
26 kB
18. Statistics - Inferential Statistics Confidence Intervals/4. Confidence Intervals; Population Variance Known; z-score; Exercise.html
81 B
18. Statistics - Inferential Statistics Confidence Intervals/4.1 3.9.The-z-table.xlsx.xlsx
26 kB
18. Statistics - Inferential Statistics Confidence Intervals/4.2 3.9. Population variance known, z-score_exercise.xlsx.xlsx
11 kB
18. Statistics - Inferential Statistics Confidence Intervals/4.3 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx
11 kB
18. Statistics - Inferential Statistics Confidence Intervals/5. Confidence Interval Clarifications.mp4
57 MB
18. Statistics - Inferential Statistics Confidence Intervals/5. Confidence Interval Clarifications.vtt
4.8 kB
18. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp4
35 MB
18. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.vtt
3.7 kB
18. Statistics - Inferential Statistics Confidence Intervals/7. Student's T Distribution.html
158 B
18. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp4
32 MB
18. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.vtt
5.0 kB
18. Statistics - Inferential Statistics Confidence Intervals/8.1 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx
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30. Python - Advanced Python Tools/1. Object Oriented Programming.mp4
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31. Part 5 Advanced Statistical Methods in Python/1. Introduction to Regression Analysis.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/14. A4 No Autocorrelation.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/16. A5 No Multicollinearity.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/18. Dealing with Categorical Data - Dummy Variables.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/18. Dealing with Categorical Data - Dummy Variables.vtt
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/19. Dealing with Categorical Data - Dummy Variables.html
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/20. Making Predictions with the Linear Regression.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/3. Adjusted R-Squared.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/5. Multiple Linear Regression Exercise.html
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/6. Test for Significance of the Model (F-Test).mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/7. OLS Assumptions.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/9. A1 Linearity.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/1. What is sklearn and How is it Different from Other Packages.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/1. What is sklearn and How is it Different from Other Packages.vtt
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34. Advanced Statistical Methods - Linear Regression with sklearn/10. Feature Selection (F-regression).mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/11. A Note on Calculation of P-values with sklearn.html
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34. Advanced Statistical Methods - Linear Regression with sklearn/12. Creating a Summary Table with p-values.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/13. Multiple Linear Regression - Exercise.html
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34. Advanced Statistical Methods - Linear Regression with sklearn/14. Feature Scaling (Standardization).mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/15. Feature Selection through Standardization of Weights.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/16. Predicting with the Standardized Coefficients.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/17. Feature Scaling (Standardization) - Exercise.html
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34. Advanced Statistical Methods - Linear Regression with sklearn/18. Underfitting and Overfitting.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/19. Train - Test Split Explained.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/2. How are Going to Approach this Section.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/2. How are Going to Approach this Section.vtt
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34. Advanced Statistical Methods - Linear Regression with sklearn/3. Simple Linear Regression with sklearn.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/3. Simple Linear Regression with sklearn.vtt
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34. Advanced Statistical Methods - Linear Regression with sklearn/4. Simple Linear Regression with sklearn - A StatsModels-like Summary Table.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/4. Simple Linear Regression with sklearn - A StatsModels-like Summary Table.vtt
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34. Advanced Statistical Methods - Linear Regression with sklearn/5. A Note on Normalization.html
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34. Advanced Statistical Methods - Linear Regression with sklearn/6. Simple Linear Regression with sklearn - Exercise.html
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34. Advanced Statistical Methods - Linear Regression with sklearn/7. Multiple Linear Regression with sklearn.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/8. Calculating the Adjusted R-Squared in sklearn.mp4
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34. Advanced Statistical Methods - Linear Regression with sklearn/9. Calculating the Adjusted R-Squared in sklearn - Exercise.html
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35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4
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35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).vtt
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35. Advanced Statistical Methods - Practical Example Linear Regression/3. A Note on Multicollinearity.html
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35. Advanced Statistical Methods - Practical Example Linear Regression/4. Practical Example Linear Regression (Part 3).mp4
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35. Advanced Statistical Methods - Practical Example Linear Regression/4.1 sklearn - Linear Regression - Practical Example (Part 3).html
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35. Advanced Statistical Methods - Practical Example Linear Regression/5. Dummies and Variance Inflation Factor - Exercise.html
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35. Advanced Statistical Methods - Practical Example Linear Regression/5.1 Dummies and VIF - Exercise and Solution.html
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35. Advanced Statistical Methods - Practical Example Linear Regression/6. Practical Example Linear Regression (Part 4).mp4
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35. Advanced Statistical Methods - Practical Example Linear Regression/7. Dummy Variables - Exercise.html
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36. Advanced Statistical Methods - Logistic Regression/1. Introduction to Logistic Regression.mp4
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36. Advanced Statistical Methods - Logistic Regression/10. Binary Predictors in a Logistic Regression.mp4
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36. Advanced Statistical Methods - Logistic Regression/10.1 Binary predictors.html
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36. Advanced Statistical Methods - Logistic Regression/11. Binary Predictors in a Logistic Regression - Exercise.html
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36. Advanced Statistical Methods - Logistic Regression/11.1 Bank_data.csv.csv
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36. Advanced Statistical Methods - Logistic Regression/12. Calculating the Accuracy of the Model.mp4
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36. Advanced Statistical Methods - Logistic Regression/14. Underfitting and Overfitting.mp4
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36. Advanced Statistical Methods - Logistic Regression/15. Testing the Model.mp4
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36. Advanced Statistical Methods - Logistic Regression/16. Testing the Model - Exercise.html
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36. Advanced Statistical Methods - Logistic Regression/2. A Simple Example in Python.mp4
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36. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4
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36. Advanced Statistical Methods - Logistic Regression/4. Building a Logistic Regression.mp4
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36. Advanced Statistical Methods - Logistic Regression/5.1 Building a logistic regression.html
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36. Advanced Statistical Methods - Logistic Regression/5.2 Example_bank_data.csv.csv
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36. Advanced Statistical Methods - Logistic Regression/6. An Invaluable Coding Tip.mp4
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36. Advanced Statistical Methods - Logistic Regression/6. An Invaluable Coding Tip.vtt
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36. Advanced Statistical Methods - Logistic Regression/7. Understanding Logistic Regression Tables.mp4
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36. Advanced Statistical Methods - Logistic Regression/9. What do the Odds Actually Mean.mp4
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37. Advanced Statistical Methods - Cluster Analysis/1. Introduction to Cluster Analysis.mp4
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37. Advanced Statistical Methods - Cluster Analysis/1. Introduction to Cluster Analysis.vtt
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37. Advanced Statistical Methods - Cluster Analysis/2. Some Examples of Clusters.mp4
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37. Advanced Statistical Methods - Cluster Analysis/2. Some Examples of Clusters.vtt
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37. Advanced Statistical Methods - Cluster Analysis/3. Difference between Classification and Clustering.mp4
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37. Advanced Statistical Methods - Cluster Analysis/4. Math Prerequisites.mp4
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38. Advanced Statistical Methods - K-Means Clustering/1. K-Means Clustering.mp4
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38. Advanced Statistical Methods - K-Means Clustering/1. K-Means Clustering.vtt
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38. Advanced Statistical Methods - K-Means Clustering/10. Relationship between Clustering and Regression.mp4
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38. Advanced Statistical Methods - K-Means Clustering/10. Relationship between Clustering and Regression.vtt
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38. Advanced Statistical Methods - K-Means Clustering/11. Market Segmentation with Cluster Analysis (Part 1).mp4
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38. Advanced Statistical Methods - K-Means Clustering/11. Market Segmentation with Cluster Analysis (Part 1).vtt
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38. Advanced Statistical Methods - K-Means Clustering/12. Market Segmentation with Cluster Analysis (Part 2).mp4
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38. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.mp4
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38. Advanced Statistical Methods - K-Means Clustering/14. EXERCISE Species Segmentation with Cluster Analysis (Part 1).html
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38. Advanced Statistical Methods - K-Means Clustering/15.3 iris_with_answers.csv.csv
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38. Advanced Statistical Methods - K-Means Clustering/2. A Simple Example of Clustering.mp4
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38. Advanced Statistical Methods - K-Means Clustering/2. A Simple Example of Clustering.vtt
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38. Advanced Statistical Methods - K-Means Clustering/2.1 Example of clustering.html
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38. Advanced Statistical Methods - K-Means Clustering/3. A Simple Example of Clustering - Exercise.html
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38. Advanced Statistical Methods - K-Means Clustering/3.1 A simple example of clustering.html
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38. Advanced Statistical Methods - K-Means Clustering/3.2 Countries_exercise.csv.csv
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38. Advanced Statistical Methods - K-Means Clustering/4. Clustering Categorical Data.mp4
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38. Advanced Statistical Methods - K-Means Clustering/4.1 Clustering categorical data.html
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38. Advanced Statistical Methods - K-Means Clustering/5. Clustering Categorical Data - Exercise.html
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38. Advanced Statistical Methods - K-Means Clustering/5.2 Clustering categorical data.html
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38. Advanced Statistical Methods - K-Means Clustering/6. How to Choose the Number of Clusters.mp4
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38. Advanced Statistical Methods - K-Means Clustering/6.1 How to choose the number of clusters.html
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38. Advanced Statistical Methods - K-Means Clustering/7. How to Choose the Number of Clusters - Exercise.html
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38. Advanced Statistical Methods - K-Means Clustering/7.1 How to choose the number of clusters.html
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38. Advanced Statistical Methods - K-Means Clustering/7.2 Countries_exercise.csv.csv
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38. Advanced Statistical Methods - K-Means Clustering/8. Pros and Cons of K-Means Clustering.mp4
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38. Advanced Statistical Methods - K-Means Clustering/8. Pros and Cons of K-Means Clustering.vtt
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38. Advanced Statistical Methods - K-Means Clustering/9. To Standardize or not to Standardize.mp4
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38. Advanced Statistical Methods - K-Means Clustering/9. To Standardize or not to Standardize.vtt
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39. Advanced Statistical Methods - Other Types of Clustering/1. Types of Clustering.mp4
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39. Advanced Statistical Methods - Other Types of Clustering/1. Types of Clustering.vtt
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39. Advanced Statistical Methods - Other Types of Clustering/2. Dendrogram.mp4
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39. Advanced Statistical Methods - Other Types of Clustering/3. Heatmaps.mp4
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4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.mp4
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4. The Field of Data Science - The Benefits of Each Discipline/1. The Reason behind these Disciplines.vtt
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40. Part 6 Mathematics/1. What is a matrix.mp4
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40. Part 6 Mathematics/1. What is a matrix.vtt
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40. Part 6 Mathematics/10. Addition and Subtraction of Matrices.mp4
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40. Part 6 Mathematics/10.1 Addition and Subtraction of Matrices Python Notebook.html
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40. Part 6 Mathematics/12. Errors when Adding Matrices.mp4
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40. Part 6 Mathematics/13. Transpose of a Matrix.mp4
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40. Part 6 Mathematics/14. Dot Product.mp4
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40. Part 6 Mathematics/15. Dot Product of Matrices.mp4
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40. Part 6 Mathematics/15.1 Dot Product of Matrices Python Notebook.html
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40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4
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40. Part 6 Mathematics/16. Why is Linear Algebra Useful.vtt
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40. Part 6 Mathematics/2. What is a Matrix.html
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40. Part 6 Mathematics/3. Scalars and Vectors.mp4
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40. Part 6 Mathematics/5. Linear Algebra and Geometry.mp4
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40. Part 6 Mathematics/6. Linear Algebra and Geometry.html
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40. Part 6 Mathematics/7. Arrays in Python - A Convenient Way To Represent Matrices.mp4
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40. Part 6 Mathematics/7.1 Arrays in Python Notebook.html
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40. Part 6 Mathematics/8. What is a Tensor.mp4
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41. Part 7 Deep Learning/1. What to Expect from this Part.mp4
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41. Part 7 Deep Learning/1. What to Expect from this Part.vtt
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41. Part 7 Deep Learning/2. What is Machine Learning.html
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42. Deep Learning - Introduction to Neural Networks/1. Introduction to Neural Networks.mp4
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42. Deep Learning - Introduction to Neural Networks/1. Introduction to Neural Networks.vtt
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42. Deep Learning - Introduction to Neural Networks/1.1 Course Notes - Section 2.pdf.pdf
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42. Deep Learning - Introduction to Neural Networks/10. The Linear Model with Multiple Inputs.html
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42. Deep Learning - Introduction to Neural Networks/11. The Linear model with Multiple Inputs and Multiple Outputs.mp4
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42. Deep Learning - Introduction to Neural Networks/12. The Linear model with Multiple Inputs and Multiple Outputs.html
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42. Deep Learning - Introduction to Neural Networks/13. Graphical Representation of Simple Neural Networks.mp4
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42. Deep Learning - Introduction to Neural Networks/15. What is the Objective Function.mp4
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42. Deep Learning - Introduction to Neural Networks/17. Common Objective Functions L2-norm Loss.mp4
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42. Deep Learning - Introduction to Neural Networks/19. Common Objective Functions Cross-Entropy Loss.mp4
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42. Deep Learning - Introduction to Neural Networks/2. Introduction to Neural Networks.html
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42. Deep Learning - Introduction to Neural Networks/21. Optimization Algorithm 1-Parameter Gradient Descent.mp4
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42. Deep Learning - Introduction to Neural Networks/21.1 GD-function-example.xlsx.xlsx
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42. Deep Learning - Introduction to Neural Networks/3. Training the Model.mp4
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42. Deep Learning - Introduction to Neural Networks/3. Training the Model.vtt
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42. Deep Learning - Introduction to Neural Networks/3.1 Course Notes - Section 2.pdf.pdf
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42. Deep Learning - Introduction to Neural Networks/5. Types of Machine Learning.mp4
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42. Deep Learning - Introduction to Neural Networks/5. Types of Machine Learning.vtt
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42. Deep Learning - Introduction to Neural Networks/7. The Linear Model (Linear Algebraic Version).mp4
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42. Deep Learning - Introduction to Neural Networks/8. The Linear Model.html
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42. Deep Learning - Introduction to Neural Networks/9. The Linear Model with Multiple Inputs.mp4
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/1. Basic NN Example (Part 1).mp4
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/1. Basic NN Example (Part 1).vtt
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/1.1 Shortcuts-for-Jupyter.pdf.pdf
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/1.2 Bais NN Example Part 1.html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/2. Basic NN Example (Part 2).mp4
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/3. Basic NN Example (Part 3).mp4
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/4. Basic NN Example (Part 4).mp4
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5. Basic NN Example Exercises.html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.1 Basic NN Example (All Exercises).html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.2 Basic NN Example Exercise 1 Solution.html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.3 Basic NN Example Exercise 3a Solution.html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.4 Basic NN Example Exercise 2 Solution.html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.5 Basic NN Example Exercise 3b Solution.html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.6 Basic NN Example Exercise 3d Solution.html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.7 Basic NN Example Exercise 3c Solution.html
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43. Deep Learning - How to Build a Neural Network from Scratch with NumPy/5.8 Basic NN Example Exercise 5 Solution.html
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44. Deep Learning - TensorFlow Introduction/1. How to Install TensorFlow.mp4
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44. Deep Learning - TensorFlow Introduction/1. How to Install TensorFlow.vtt
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44. Deep Learning - TensorFlow Introduction/1.1 Shortcuts-for-Jupyter.pdf.pdf
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44. Deep Learning - TensorFlow Introduction/2. A Note on Installing Packages in Anaconda.html
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44. Deep Learning - TensorFlow Introduction/3. TensorFlow Outline and Logic.mp4
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44. Deep Learning - TensorFlow Introduction/3. TensorFlow Outline and Logic.vtt
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44. Deep Learning - TensorFlow Introduction/4. Actual Introduction to TensorFlow.mp4
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44. Deep Learning - TensorFlow Introduction/4.1 Shortcuts-for-Jupyter.pdf.pdf
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44. Deep Learning - TensorFlow Introduction/5. Types of File Formats, supporting Tensors.mp4
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44. Deep Learning - TensorFlow Introduction/5. Types of File Formats, supporting Tensors.vtt
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44. Deep Learning - TensorFlow Introduction/5.1 Basic NN Example with TensorFlow (Part 1).html
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44. Deep Learning - TensorFlow Introduction/6. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.mp4
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44. Deep Learning - TensorFlow Introduction/6. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.vtt
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44. Deep Learning - TensorFlow Introduction/6.1 Basic NN Example with TensorFlow (Part 2).html
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44. Deep Learning - TensorFlow Introduction/7. Basic NN Example with TF Loss Function and Gradient Descent.mp4
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44. Deep Learning - TensorFlow Introduction/8. Basic NN Example with TF Model Output.mp4
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44. Deep Learning - TensorFlow Introduction/8.1 Basic NN Example with TensorFlow (Complete).html
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44. Deep Learning - TensorFlow Introduction/9. Basic NN Example with TF Exercises.html
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44. Deep Learning - TensorFlow Introduction/9.1 Basic NN Example with TensorFlow Exercise 2.3 Solution.html
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44. Deep Learning - TensorFlow Introduction/9.4 Basic NN Example with TensorFlow Exercise 1 Solution.html
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44. Deep Learning - TensorFlow Introduction/9.6 Basic NN Example with TensorFlow (All Exercises).html
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44. Deep Learning - TensorFlow Introduction/9.8 Basic NN Example with TensorFlow Exercise 3 Solution.html
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/1. What is a Layer.mp4
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/1.1 Course Notes - Section 6.pdf.pdf
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/2. What is a Deep Net.mp4
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/2. What is a Deep Net.vtt
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/2.1 Course Notes - Section 6.pdf.pdf
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/3. Digging into a Deep Net.mp4
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/3. Digging into a Deep Net.vtt
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/4. Non-Linearities and their Purpose.mp4
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/5. Activation Functions.mp4
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/6. Activation Functions Softmax Activation.mp4
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/6. Activation Functions Softmax Activation.vtt
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/7. Backpropagation.mp4
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/9. Backpropagation - A Peek into the Mathematics of Optimization.html
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45. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/9.1 Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf.pdf
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46. Deep Learning - Overfitting/1. What is Overfitting.mp4
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46. Deep Learning - Overfitting/1. What is Overfitting.vtt
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46. Deep Learning - Overfitting/2. Underfitting and Overfitting for Classification.mp4
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46. Deep Learning - Overfitting/3. What is Validation.mp4
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46. Deep Learning - Overfitting/4. Training, Validation, and Test Datasets.mp4
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46. Deep Learning - Overfitting/5. N-Fold Cross Validation.mp4
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46. Deep Learning - Overfitting/6. Early Stopping or When to Stop Training.mp4
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46. Deep Learning - Overfitting/6. Early Stopping or When to Stop Training.vtt
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47. Deep Learning - Initialization/1. What is Initialization.mp4
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47. Deep Learning - Initialization/1. What is Initialization.vtt
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47. Deep Learning - Initialization/2. Types of Simple Initializations.mp4
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47. Deep Learning - Initialization/2. Types of Simple Initializations.vtt
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47. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.mp4
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47. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.vtt
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.mp4
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.vtt
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.mp4
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/2. Problems with Gradient Descent.vtt
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/3. Momentum.mp4
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/4. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.vtt
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/5. Learning Rate Schedules Visualized.mp4
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/6. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).mp4
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/7. Adam (Adaptive Moment Estimation).mp4
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/7. Adam (Adaptive Moment Estimation).vtt
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49. Deep Learning - Preprocessing/1. Preprocessing Introduction.mp4
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49. Deep Learning - Preprocessing/1. Preprocessing Introduction.vtt
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49. Deep Learning - Preprocessing/2. Types of Basic Preprocessing.mp4
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49. Deep Learning - Preprocessing/2. Types of Basic Preprocessing.vtt
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49. Deep Learning - Preprocessing/3. Standardization.mp4
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49. Deep Learning - Preprocessing/4. Preprocessing Categorical Data.mp4
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49. Deep Learning - Preprocessing/5. Binary and One-Hot Encoding.mp4
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49. Deep Learning - Preprocessing/5. Binary and One-Hot Encoding.vtt
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5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4
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5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.vtt
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5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4
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5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4
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5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4
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5. The Field of Data Science - Popular Data Science Techniques/17. Real Life Examples of Machine Learning (ML).mp4
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5. The Field of Data Science - Popular Data Science Techniques/3. Real Life Examples of Traditional Data.mp4
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5. The Field of Data Science - Popular Data Science Techniques/4. Techniques for Working with Big Data.mp4
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5. The Field of Data Science - Popular Data Science Techniques/6. Real Life Examples of Big Data.mp4
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5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4
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5. The Field of Data Science - Popular Data Science Techniques/9. Real Life Examples of Business Intelligence (BI).mp4
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50. Deep Learning - Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.vtt
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50. Deep Learning - Classifying on the MNIST Dataset/10. MNIST Exercises.html
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50. Deep Learning - Classifying on the MNIST Dataset/10.1 TensorFlow MNIST All Exercises.html
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50. Deep Learning - Classifying on the MNIST Dataset/11. MNIST Solutions.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.1 TensorFlow MNIST '1. Width' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.10 TensorFlow MNIST 'Around 98% Accuracy' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.11 TensorFlow MNIST '7. Batch size (Part 2)' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.2 TensorFlow MNIST '5. Activation Functions (Part 2)' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.3 TensorFlow MNIST '6. Batch size (Part 1)' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.4 TensorFlow MNIST '8. Learning Rate (Part 1)' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.5 TensorFlow MNIST 'Time' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.6 TensorFlow MNIST '4. Activation Functions (Part 1)' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.7 TensorFlow MNIST '9. Learning Rate (Part 2)' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.8 TensorFlow MNIST '3. Width and Depth' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/11.9 TensorFlow MNIST '2. Depth' Solution.html
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50. Deep Learning - Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.vtt
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50. Deep Learning - Classifying on the MNIST Dataset/3. MNIST Relevant Packages.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/3. MNIST Relevant Packages.vtt
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50. Deep Learning - Classifying on the MNIST Dataset/3.1 TensorFlow MNIST Part 1 with Comments.html
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50. Deep Learning - Classifying on the MNIST Dataset/4. MNIST Model Outline.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/4.1 TensorFlow MNIST Part 2 with Comments.html
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50. Deep Learning - Classifying on the MNIST Dataset/5. MNIST Loss and Optimization Algorithm.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/5.1 TensorFlow MNIST Part 3 with Comments.html
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50. Deep Learning - Classifying on the MNIST Dataset/6. Calculating the Accuracy of the Model.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/6.1 TensorFlow MNIST Part 4 with Comments.html
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50. Deep Learning - Classifying on the MNIST Dataset/7. MNIST Batching and Early Stopping.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/7.1 TensorFlow MNIST Part 5 with Comments.html
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50. Deep Learning - Classifying on the MNIST Dataset/8. MNIST Learning.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/9. MNIST Results and Testing.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/9.1 TensorFlow MNIST Complete Code with Comments.html
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51. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.mp4
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51. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.vtt
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51. Deep Learning - Business Case Example/1.1 Audiobooks_data.csv.csv
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51. Deep Learning - Business Case Example/10. Business Case Testing the Model.mp4
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51. Deep Learning - Business Case Example/11. Business Case A Comment on the Homework.mp4
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51. Deep Learning - Business Case Example/11.1 TensorFlow Business Case Homework.html
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51. Deep Learning - Business Case Example/12. Business Case Final Exercise.html
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51. Deep Learning - Business Case Example/2. Business Case Outlining the Solution.mp4
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51. Deep Learning - Business Case Example/3. The Importance of Working with a Balanced Dataset.mp4
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51. Deep Learning - Business Case Example/4. Business Case Preprocessing.mp4
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51. Deep Learning - Business Case Example/4.1 Audiobooks Preprocessing.html
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51. Deep Learning - Business Case Example/5. Business Case Preprocessing Exercise.html
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51. Deep Learning - Business Case Example/6. Creating a Data Provider.mp4
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51. Deep Learning - Business Case Example/6.1 Creating a Data Provider (Class).html
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51. Deep Learning - Business Case Example/7. Business Case Model Outline.mp4
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51. Deep Learning - Business Case Example/8. Business Case Optimization.mp4
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51. Deep Learning - Business Case Example/9. Business Case Interpretation.mp4
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52. Deep Learning - Conclusion/1. Summary on What You've Learned.mp4
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52. Deep Learning - Conclusion/2. What's Further out there in terms of Machine Learning.mp4
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52. Deep Learning - Conclusion/3. An overview of CNNs.mp4
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52. Deep Learning - Conclusion/3. An overview of CNNs.vtt
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52. Deep Learning - Conclusion/4. DeepMind and Deep Learning.html
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52. Deep Learning - Conclusion/5. An Overview of RNNs.mp4
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52. Deep Learning - Conclusion/5. An Overview of RNNs.vtt
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52. Deep Learning - Conclusion/6. An Overview of non-NN Approaches.mp4
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52. Deep Learning - Conclusion/6. An Overview of non-NN Approaches.vtt
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52. Deep Learning - Conclusion/7. Download All Resources.html
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53. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4
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53. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.vtt
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53. Software Integration/10. Software Integration - Explained.html
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53. Software Integration/2. What are Data, Servers, Clients, Requests, and Responses.html
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53. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4
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53. Software Integration/4. What are Data Connectivity, APIs, and Endpoints.html
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53. Software Integration/5. Taking a Closer Look at APIs.mp4
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53. Software Integration/6. Taking a Closer Look at APIs.html
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53. Software Integration/7. Communication between Software Products through Text Files.mp4
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53. Software Integration/8. Communication between Software Products through Text Files.html
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53. Software Integration/9. Software Integration - Explained.mp4
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54. Case Study - What's Next in the Course/1. Game Plan for this Python, SQL, and Tableau Business Exercise.mp4
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54. Case Study - What's Next in the Course/1. Game Plan for this Python, SQL, and Tableau Business Exercise.vtt
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54. Case Study - What's Next in the Course/2. The Business Task.mp4
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54. Case Study - What's Next in the Course/2. The Business Task.vtt
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54. Case Study - What's Next in the Course/3. Introducing the Data Set.mp4
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54. Case Study - What's Next in the Course/4. Introducing the Data Set.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/1. What to Expect from the Following Sections.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/1.1 Absenteeism_data.csv.csv
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55. Case Study - Preprocessing the 'Absenteeism_data'/1.2 df_preprocessed.csv.csv
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55. Case Study - Preprocessing the 'Absenteeism_data'/1.3 data_preprocessing_homework.pdf.pdf
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55. Case Study - Preprocessing the 'Absenteeism_data'/10. Analyzing the Reasons for Absence.mp4
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55. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4
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55. Case Study - Preprocessing the 'Absenteeism_data'/13. SOLUTION - Obtaining Dummies from a Single Feature.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/14. Dropping a Dummy Variable from the Data Set.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.mp4
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55. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.vtt
14 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4
75 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.mp4
39 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/18. EXERCISE - Using .concat() in Python.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/19. SOLUTION - Using .concat() in Python.html
142 B
55. Case Study - Preprocessing the 'Absenteeism_data'/2. Importing the Absenteeism Data in Python.mp4
23 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/2. Importing the Absenteeism Data in Python.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.mp4
14 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/21. EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/22. SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html
462 B
55. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.mp4
26 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/23.1 Creating Checkpoints.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/24. EXERCISE - Creating Checkpoints while Coding in Jupyter.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/25. SOLUTION - Creating Checkpoints while Coding in Jupyter.html
117 B
55. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.mp4
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55. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.mp4
48 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.mp4
28 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/29. EXERCISE - Removing the Date Column.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/29.1 Removing the “Date” Column.html
188 B
55. Case Study - Preprocessing the 'Absenteeism_data'/29.2 Preprocessing.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.mp4
62 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.mp4
30 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.mp4
40 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.mp4
22 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/32.1 Exercises and solutions.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/32.2 Preprocessing.html
156 B
55. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.mp4
28 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.vtt
3.6 kB
55. Case Study - Preprocessing the 'Absenteeism_data'/5. What's Regression Analysis - a Quick Refresher.html
2.8 kB
55. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.mp4
20 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.vtt
2.5 kB
55. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.mp4
62 MB
55. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.vtt
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55. Case Study - Preprocessing the 'Absenteeism_data'/8. EXERCISE - Dropping a Column from a DataFrame in Python.html
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55. Case Study - Preprocessing the 'Absenteeism_data'/9. SOLUTION - Dropping a Column from a DataFrame in Python.html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.mp4
28 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.vtt
4.0 kB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1.1 Absenteeism_preprocessed.csv.csv
29 kB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.mp4
40 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.mp4
40 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11.1 Logistic Regression prior to Backward Elimination.html
226 B
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.mp4
49 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.mp4
37 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/14. ARTICLE - A Note on 'pickling'.html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15. EXERCISE - Saving the Model (and Scaler).html
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.1 Logistic Regression with Comments.html
210 B
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.2 Logistic Regression.html
196 B
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.mp4
44 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/2. Creating the Targets for the Logistic Regression.mp4
46 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/2. Creating the Targets for the Logistic Regression.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/3. Selecting the Inputs for the Logistic Regression.mp4
17 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/3. Selecting the Inputs for the Logistic Regression.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/4. Standardizing the Data.mp4
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/4. Standardizing the Data.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/5. Splitting the Data for Training and Testing.mp4
53 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/5. Splitting the Data for Training and Testing.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/6. Fitting the Model and Assessing its Accuracy.mp4
42 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/6. Fitting the Model and Assessing its Accuracy.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/7. Creating a Summary Table with the Coefficients and Intercept.mp4
39 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/7. Creating a Summary Table with the Coefficients and Intercept.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/8. Interpreting the Coefficients for Our Problem.mp4
52 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/8. Interpreting the Coefficients for Our Problem.vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9. Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4
41 MB
56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9. Standardizing only the Numerical Variables (Creating a Custom Scaler).vtt
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56. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9.1 Logistic Regression prior to Custom Scaler.html
219 B
57. Case Study - Loading the 'absenteeism_module'/1. Are You Sure You're All Set.html
519 B
57. Case Study - Loading the 'absenteeism_module'/1.1 5 Files Needed to Deploy the Model.html
134 B
57. Case Study - Loading the 'absenteeism_module'/2. Deploying the 'absenteeism_module' - Part I.mp4
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57. Case Study - Loading the 'absenteeism_module'/2. Deploying the 'absenteeism_module' - Part I.vtt
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57. Case Study - Loading the 'absenteeism_module'/3. Deploying the 'absenteeism_module' - Part II.mp4
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57. Case Study - Loading the 'absenteeism_module'/3. Deploying the 'absenteeism_module' - Part II.vtt
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57. Case Study - Loading the 'absenteeism_module'/4. Exporting the Obtained Data Set as a .csv.html
998 B
57. Case Study - Loading the 'absenteeism_module'/4.1 Deploying the ‘absenteeism_module.html
185 B
58. Case Study - Analyzing the Predicted Outputs in Tableau/1. EXERCISE - Age vs Probability.html
385 B
58. Case Study - Analyzing the Predicted Outputs in Tableau/2. Analyzing Age vs Probability in Tableau.mp4
57 MB
58. Case Study - Analyzing the Predicted Outputs in Tableau/2. Analyzing Age vs Probability in Tableau.vtt
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58. Case Study - Analyzing the Predicted Outputs in Tableau/3. EXERCISE - Reasons vs Probability.html
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58. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.mp4
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58. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.vtt
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58. Case Study - Analyzing the Predicted Outputs in Tableau/5. EXERCISE - Transportation Expense vs Probability.html
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58. Case Study - Analyzing the Predicted Outputs in Tableau/6. Analyzing Transportation Expense vs Probability in Tableau.mp4
41 MB
58. Case Study - Analyzing the Predicted Outputs in Tableau/6. Analyzing Transportation Expense vs Probability in Tableau.vtt
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6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4
104 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.vtt
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6. The Field of Data Science - Popular Data Science Tools/2. Necessary Programming Languages and Software Used in Data Science.html
158 B
7. The Field of Data Science - Careers in Data Science/1. Finding the Job - What to Expect and What to Look for.mp4
54 MB
7. The Field of Data Science - Careers in Data Science/1. Finding the Job - What to Expect and What to Look for.vtt
3.9 kB
7. The Field of Data Science - Careers in Data Science/2. Finding the Job - What to Expect and What to Look for.html
158 B
8. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.mp4
73 MB
8. The Field of Data Science - Debunking Common Misconceptions/1. Debunking Common Misconceptions.vtt
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8. The Field of Data Science - Debunking Common Misconceptions/2. Debunking Common Misconceptions.html
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9. Part 2 Probability/1. The Basic Probability Formula.mp4
86 MB
9. Part 2 Probability/1. The Basic Probability Formula.vtt
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9. Part 2 Probability/1.1 Course Notes - Basic Probability.pdf.pdf
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9. Part 2 Probability/2. The Basic Probability Formula.html
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9. Part 2 Probability/3. Computing Expected Values.mp4
76 MB
9. Part 2 Probability/3. Computing Expected Values.vtt
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9. Part 2 Probability/4. Computing Expected Values.html
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9. Part 2 Probability/5. Frequency.mp4
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9. Part 2 Probability/5. Frequency.vtt
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9. Part 2 Probability/6. Frequency.html
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9. Part 2 Probability/7. Events and Their Complements.mp4
59 MB
9. Part 2 Probability/7. Events and Their Complements.vtt
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9. Part 2 Probability/8. Events and Their Complements.html
158 B
[FCS Forum].url
133 B
[FreeCourseSite.com].url
127 B