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[DesireCourse.Net] Udemy - The Data Science Course 2020 Complete Data Science Bootcamp
- Date: 2022-06-12
- Size: 15 GB
- Files: 1343
File Name
Size
0. Websites you may like/[CourseClub.Me].url
48 B
0. Websites you may like/[DesireCourse.Net].url
51 B
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.srt
6.4 kB
1. Part 1 Introduction/2. What Does the Course Cover.mp4
62 MB
1. Part 1 Introduction/2. What Does the Course Cover.srt
5.1 kB
1. Part 1 Introduction/3. Download All Resources and Important FAQ.html
21 kB
1. Part 1 Introduction/3.1 FAQ_The_Data_Science_Course.pdf
306 kB
1. Part 1 Introduction/3.2 Download All Resources.html
134 B
10. Probability - Combinatorics/1. Fundamentals of Combinatorics.mp4
16 MB
10. Probability - Combinatorics/1. Fundamentals of Combinatorics.srt
1.3 kB
10. Probability - Combinatorics/1.1 Course Notes - Combinatorics.pdf
226 kB
10. Probability - Combinatorics/10. Solving Variations without Repetition.html
165 B
10. Probability - Combinatorics/11. Solving Combinations.mp4
57 MB
10. Probability - Combinatorics/11. Solving Combinations.srt
5.6 kB
10. Probability - Combinatorics/11.1 Combinations With Repetition.pdf
207 kB
10. Probability - Combinatorics/12. Solving Combinations.html
165 B
10. Probability - Combinatorics/13. Symmetry of Combinations.mp4
40 MB
10. Probability - Combinatorics/13. Symmetry of Combinations.srt
4.3 kB
10. Probability - Combinatorics/13.1 Symmetry Explained.pdf
85 kB
10. Probability - Combinatorics/14. Symmetry of Combinations.html
165 B
10. Probability - Combinatorics/15. Solving Combinations with Separate Sample Spaces.mp4
33 MB
10. Probability - Combinatorics/15. Solving Combinations with Separate Sample Spaces.srt
3.7 kB
10. Probability - Combinatorics/16. Solving Combinations with Separate Sample Spaces.html
165 B
10. Probability - Combinatorics/17. Combinatorics in Real-Life The Lottery.mp4
41 MB
10. Probability - Combinatorics/17. Combinatorics in Real-Life The Lottery.srt
4.1 kB
10. Probability - Combinatorics/18. Combinatorics in Real-Life The Lottery.html
165 B
10. Probability - Combinatorics/19. A Recap of Combinatorics.mp4
38 MB
10. Probability - Combinatorics/19. A Recap of Combinatorics.srt
3.7 kB
10. Probability - Combinatorics/2. Fundamentals of Combinatorics.html
165 B
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4
134 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.srt
14 kB
10. Probability - Combinatorics/20.1 Additional Exercises Combinatorics.pdf
107 kB
10. Probability - Combinatorics/20.2 Additional Exercises Combinatorics Solutions.pdf
246 kB
10. Probability - Combinatorics/3. Permutations and How to Use Them.mp4
43 MB
10. Probability - Combinatorics/3. Permutations and How to Use Them.srt
4.1 kB
10. Probability - Combinatorics/4. Permutations and How to Use Them.html
165 B
10. Probability - Combinatorics/5. Simple Operations with Factorials.mp4
36 MB
10. Probability - Combinatorics/5. Simple Operations with Factorials.srt
3.3 kB
10. Probability - Combinatorics/6. Simple Operations with Factorials.html
165 B
10. Probability - Combinatorics/7. Solving Variations with Repetition.mp4
34 MB
10. Probability - Combinatorics/7. Solving Variations with Repetition.srt
3.5 kB
10. Probability - Combinatorics/8. Solving Variations with Repetition.html
165 B
10. Probability - Combinatorics/9. Solving Variations without Repetition.mp4
43 MB
10. Probability - Combinatorics/9. Solving Variations without Repetition.srt
4.5 kB
11. Probability - Bayesian Inference/1. Sets and Events.mp4
54 MB
11. Probability - Bayesian Inference/1. Sets and Events.srt
5.1 kB
11. Probability - Bayesian Inference/1.1 Course Notes - Bayesian Inference.pdf
386 kB
11. Probability - Bayesian Inference/10. Mutually Exclusive Sets.html
165 B
11. Probability - Bayesian Inference/11. Dependence and Independence of Sets.mp4
35 MB
11. Probability - Bayesian Inference/11. Dependence and Independence of Sets.srt
3.5 kB
11. Probability - Bayesian Inference/12. Dependence and Independence of Sets.html
165 B
11. Probability - Bayesian Inference/13. The Conditional Probability Formula.mp4
46 MB
11. Probability - Bayesian Inference/13. The Conditional Probability Formula.srt
4.9 kB
11. Probability - Bayesian Inference/14. The Conditional Probability Formula.html
165 B
11. Probability - Bayesian Inference/15. The Law of Total Probability.mp4
35 MB
11. Probability - Bayesian Inference/15. The Law of Total Probability.srt
3.5 kB
11. Probability - Bayesian Inference/16. The Additive Rule.mp4
27 MB
11. Probability - Bayesian Inference/16. The Additive Rule.srt
2.7 kB
11. Probability - Bayesian Inference/17. The Additive Rule.html
165 B
11. Probability - Bayesian Inference/18. The Multiplication Law.mp4
49 MB
11. Probability - Bayesian Inference/18. The Multiplication Law.srt
4.6 kB
11. Probability - Bayesian Inference/19. The Multiplication Law.html
165 B
11. Probability - Bayesian Inference/2. Sets and Events.html
165 B
11. Probability - Bayesian Inference/20. Bayes' Law.mp4
50 MB
11. Probability - Bayesian Inference/20. Bayes' Law.srt
7.2 kB
11. Probability - Bayesian Inference/21. Bayes' Law.html
165 B
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4
145 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.srt
19 kB
11. Probability - Bayesian Inference/22.1 CDS_2017-2018 Hamilton.pdf
845 kB
11. Probability - Bayesian Inference/22.2 Bayesian Homework - Solutions.pdf
30 kB
11. Probability - Bayesian Inference/22.3 Bayesian Homework .pdf
27 kB
11. Probability - Bayesian Inference/3. Ways Sets Can Interact.mp4
47 MB
11. Probability - Bayesian Inference/3. Ways Sets Can Interact.srt
4.4 kB
11. Probability - Bayesian Inference/4. Ways Sets Can Interact.html
165 B
11. Probability - Bayesian Inference/5. Intersection of Sets.mp4
27 MB
11. Probability - Bayesian Inference/5. Intersection of Sets.srt
2.5 kB
11. Probability - Bayesian Inference/6. Intersection of Sets.html
165 B
11. Probability - Bayesian Inference/7. Union of Sets.mp4
57 MB
11. Probability - Bayesian Inference/7. Union of Sets.srt
5.5 kB
11. Probability - Bayesian Inference/8. Union of Sets.html
165 B
11. Probability - Bayesian Inference/9. Mutually Exclusive Sets.mp4
25 MB
11. Probability - Bayesian Inference/9. Mutually Exclusive Sets.srt
2.5 kB
12. Probability - Distributions/1. Fundamentals of Probability Distributions.mp4
73 MB
12. Probability - Distributions/1. Fundamentals of Probability Distributions.srt
7.5 kB
12. Probability - Distributions/1.1 Course Notes - Probability Distributions.pdf
464 kB
12. Probability - Distributions/10. Discrete Distributions The Bernoulli Distribution.html
165 B
12. Probability - Distributions/11. Discrete Distributions The Binomial Distribution.mp4
69 MB
12. Probability - Distributions/11. Discrete Distributions The Binomial Distribution.srt
8.3 kB
12. Probability - Distributions/12. Discrete Distributions The Binomial Distribution.html
165 B
12. Probability - Distributions/13. Discrete Distributions The Poisson Distribution.mp4
56 MB
12. Probability - Distributions/13. Discrete Distributions The Poisson Distribution.srt
6.6 kB
12. Probability - Distributions/13.1 Poisson - Expected Value and Variance.pdf
146 kB
12. Probability - Distributions/14. Discrete Distributions The Poisson Distribution.html
165 B
12. Probability - Distributions/15. Characteristics of Continuous Distributions.mp4
84 MB
12. Probability - Distributions/15. Characteristics of Continuous Distributions.srt
8.7 kB
12. Probability - Distributions/15.1 Solving Integrals.pdf
344 kB
12. Probability - Distributions/16. Characteristics of Continuous Distributions.html
165 B
12. Probability - Distributions/17. Continuous Distributions The Normal Distribution.mp4
48 MB
12. Probability - Distributions/17. Continuous Distributions The Normal Distribution.srt
4.8 kB
12. Probability - Distributions/17.1 Normal Distribution - Exp and Var.pdf
144 kB
12. Probability - Distributions/18. Continuous Distributions The Normal Distribution.html
165 B
12. Probability - Distributions/19. Continuous Distributions The Standard Normal Distribution.mp4
48 MB
12. Probability - Distributions/19. Continuous Distributions The Standard Normal Distribution.srt
5.3 kB
12. Probability - Distributions/2. Fundamentals of Probability Distributions.html
165 B
12. Probability - Distributions/20. Continuous Distributions The Standard Normal Distribution.html
165 B
12. Probability - Distributions/21. Continuous Distributions The Students' T Distribution.mp4
27 MB
12. Probability - Distributions/21. Continuous Distributions The Students' T Distribution.srt
2.8 kB
12. Probability - Distributions/22. Continuous Distributions The Students' T Distribution.html
165 B
12. Probability - Distributions/23. Continuous Distributions The Chi-Squared Distribution.mp4
26 MB
12. Probability - Distributions/23. Continuous Distributions The Chi-Squared Distribution.srt
2.8 kB
12. Probability - Distributions/24. Continuous Distributions The Chi-Squared Distribution.html
165 B
12. Probability - Distributions/25. Continuous Distributions The Exponential Distribution.mp4
40 MB
12. Probability - Distributions/25. Continuous Distributions The Exponential Distribution.srt
4.1 kB
12. Probability - Distributions/26. Continuous Distributions The Exponential Distribution.html
165 B
12. Probability - Distributions/27. Continuous Distributions The Logistic Distribution.mp4
47 MB
12. Probability - Distributions/27. Continuous Distributions The Logistic Distribution.srt
5.0 kB
12. Probability - Distributions/28. Continuous Distributions The Logistic Distribution.html
165 B
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4
158 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.srt
20 kB
12. Probability - Distributions/29.1 FIFA19.csv
8.7 MB
12. Probability - Distributions/29.2 Daily Views (post).xlsx
20 kB
12. Probability - Distributions/29.3 Customers_Membership.xlsx
9.7 kB
12. Probability - Distributions/29.4 Customers_Membership (post).xlsx
16 kB
12. Probability - Distributions/29.5 Daily Views.xlsx
9.5 kB
12. Probability - Distributions/29.6 FIFA19 (post).csv
8.6 MB
12. Probability - Distributions/3. Types of Probability Distributions.mp4
71 MB
12. Probability - Distributions/3. Types of Probability Distributions.srt
9.3 kB
12. Probability - Distributions/4. Types of Probability Distributions.html
165 B
12. Probability - Distributions/5. Characteristics of Discrete Distributions.mp4
23 MB
12. Probability - Distributions/5. Characteristics of Discrete Distributions.srt
2.5 kB
12. Probability - Distributions/6. Characteristics of Discrete Distributions.html
165 B
12. Probability - Distributions/7. Discrete Distributions The Uniform Distribution.mp4
24 MB
12. Probability - Distributions/7. Discrete Distributions The Uniform Distribution.srt
2.7 kB
12. Probability - Distributions/8. Discrete Distributions The Uniform Distribution.html
165 B
12. Probability - Distributions/9. Discrete Distributions The Bernoulli Distribution.mp4
34 MB
12. Probability - Distributions/9. Discrete Distributions The Bernoulli Distribution.srt
3.9 kB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4
99 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.srt
9.8 kB
13. Probability - Probability in Other Fields/1.1 Probability in Finance Solutions.pdf
184 kB
13. Probability - Probability in Other Fields/1.2 Probability in Finance Homework.pdf
111 kB
13. Probability - Probability in Other Fields/2. Probability in Statistics.mp4
77 MB
13. Probability - Probability in Other Fields/2. Probability in Statistics.srt
8.4 kB
13. Probability - Probability in Other Fields/3. Probability in Data Science.mp4
64 MB
13. Probability - Probability in Other Fields/3. Probability in Data Science.srt
6.6 kB
13. Probability - Probability in Other Fields/3.1 Probability Cheat Sheet.pdf
320 kB
14. Part 3 Statistics/1. Population and Sample.mp4
58 MB
14. Part 3 Statistics/1. Population and Sample.srt
5.5 kB
14. Part 3 Statistics/1.1 Course notes_descriptive_statistics.pdf
482 kB
14. Part 3 Statistics/1.2 Statistics Glossary.xlsx
20 kB
14. Part 3 Statistics/2. Population and Sample.html
165 B
15. Statistics - Descriptive Statistics/1. Types of Data.mp4
72 MB
15. Statistics - Descriptive Statistics/1. Types of Data.srt
6.0 kB
15. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf
482 kB
15. Statistics - Descriptive Statistics/1.2 Glossary.xlsx
20 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
13 kB
15. Statistics - Descriptive Statistics/11. The Histogram.mp4
14 MB
15. Statistics - Descriptive Statistics/11. The Histogram.srt
3.0 kB
15. Statistics - Descriptive Statistics/11.1 2.5. The Histogram_lesson.xlsx
19 kB
15. Statistics - Descriptive Statistics/12. The Histogram.html
165 B
15. Statistics - Descriptive Statistics/13. Histogram Exercise.html
81 B
15. Statistics - Descriptive Statistics/13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf
289 kB
15. Statistics - Descriptive Statistics/13.2 2.5.The-Histogram-exercise-solution.xlsx
17 kB
15. Statistics - Descriptive Statistics/13.3 2.5.The-Histogram-exercise.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.srt
6.7 kB
15. Statistics - Descriptive Statistics/14.1 2.6. Cross table and scatter plot.xlsx
26 kB
15. Statistics - Descriptive Statistics/15. Cross Tables and Scatter Plots.html
165 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_solution.xlsx
40 kB
15. Statistics - Descriptive Statistics/16.2 2.6. Cross table and scatter plot_exercise.xlsx
16 kB
15. Statistics - Descriptive Statistics/17. Mean, median and mode.mp4
37 MB
15. Statistics - Descriptive Statistics/17. Mean, median and mode.srt
5.7 kB
15. Statistics - Descriptive Statistics/17.1 2.7. Mean, median and mode_lesson.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
11 kB
15. Statistics - Descriptive Statistics/18.2 2.7. Mean, median and mode_exercise_solution.xlsx
11 kB
15. Statistics - Descriptive Statistics/19. Skewness.mp4
19 MB
15. Statistics - Descriptive Statistics/19. Skewness.srt
3.6 kB
15. Statistics - Descriptive Statistics/19.1 2.8. Skewness_lesson.xlsx
35 kB
15. Statistics - Descriptive Statistics/2. Types of Data.html
165 B
15. Statistics - Descriptive Statistics/20. Skewness.html
165 B
15. Statistics - Descriptive Statistics/21. Skewness Exercise.html
81 B
15. Statistics - Descriptive Statistics/21.1 2.8. Skewness_exercise_solution.xlsx
20 kB
15. Statistics - Descriptive Statistics/21.2 2.8. Skewness_exercise.xlsx
9.5 kB
15. Statistics - Descriptive Statistics/22. Variance.mp4
51 MB
15. Statistics - Descriptive Statistics/22. Variance.srt
7.5 kB
15. Statistics - Descriptive Statistics/22.1 2.9. Variance_lesson.xlsx
10 kB
15. Statistics - Descriptive Statistics/23. Variance Exercise.html
522 B
15. Statistics - Descriptive Statistics/23.1 2.9. Variance_exercise_solution.xlsx
11 kB
15. Statistics - Descriptive Statistics/23.2 2.9. Variance_exercise.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.srt
6.6 kB
15. Statistics - Descriptive Statistics/24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx
11 kB
15. Statistics - Descriptive Statistics/25. Standard Deviation.html
165 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.xlsx
12 kB
15. Statistics - Descriptive Statistics/26.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx
13 kB
15. Statistics - Descriptive Statistics/27. Covariance.mp4
28 MB
15. Statistics - Descriptive Statistics/27. Covariance.srt
4.9 kB
15. Statistics - Descriptive Statistics/27.1 2.11. Covariance_lesson.xlsx
25 kB
15. Statistics - Descriptive Statistics/28. Covariance.html
165 B
15. Statistics - Descriptive Statistics/29. Covariance Exercise.html
81 B
15. Statistics - Descriptive Statistics/29.1 2.11. Covariance_exercise.xlsx
20 kB
15. Statistics - Descriptive Statistics/29.2 2.11. Covariance_exercise_solution.xlsx
30 kB
15. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4
54 MB
15. Statistics - Descriptive Statistics/3. Levels of Measurement.srt
4.5 kB
15. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4
29 MB
15. Statistics - Descriptive Statistics/30. Correlation Coefficient.srt
4.7 kB
15. Statistics - Descriptive Statistics/31. Correlation.html
165 B
15. Statistics - Descriptive Statistics/32. Correlation Coefficient Exercise.html
81 B
15. Statistics - Descriptive Statistics/32.1 2.12. Correlation_exercise_solution.xlsx
30 kB
15. Statistics - Descriptive Statistics/32.2 2.12. Correlation_exercise.xlsx
29 kB
15. Statistics - Descriptive Statistics/4. Levels of Measurement.html
165 B
15. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4
37 MB
15. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.srt
6.3 kB
15. Statistics - Descriptive Statistics/5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx
31 kB
15. Statistics - Descriptive Statistics/6. Categorical Variables - Visualization Techniques.html
165 B
15. Statistics - Descriptive Statistics/7. Categorical Variables Exercise.html
81 B
15. Statistics - Descriptive Statistics/7.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf
289 kB
15. Statistics - Descriptive Statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx
15 kB
15. Statistics - Descriptive Statistics/7.3 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx
41 kB
15. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4
26 MB
15. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.srt
4.4 kB
15. Statistics - Descriptive Statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx
11 kB
15. Statistics - Descriptive Statistics/9. Numerical Variables - Frequency Distribution Table.html
165 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.srt
21 kB
16. Statistics - Practical Example Descriptive Statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.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
120 kB
16. Statistics - Practical Example Descriptive Statistics/2.2 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx
146 kB
17. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4
16 MB
17. Statistics - Inferential Statistics Fundamentals/1. Introduction.srt
1.6 kB
17. Statistics - Inferential Statistics Fundamentals/1.1 Course notes_inferential statistics.pdf
382 kB
17. Statistics - Inferential Statistics Fundamentals/10. Central Limit Theorem.html
165 B
17. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp4
23 MB
17. Statistics - Inferential Statistics Fundamentals/11. Standard error.srt
2.0 kB
17. Statistics - Inferential Statistics Fundamentals/12. Standard Error.html
165 B
17. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp4
48 MB
17. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.srt
3.7 kB
17. Statistics - Inferential Statistics Fundamentals/14. Estimators and Estimates.html
165 B
17. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4
62 MB
17. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.srt
5.9 kB
17. Statistics - Inferential Statistics Fundamentals/2.1 3.2. What is a distribution_lesson.xlsx
20 kB
17. Statistics - Inferential Statistics Fundamentals/2.2 Course notes_inferential statistics.pdf
382 kB
17. Statistics - Inferential Statistics Fundamentals/3. What is a Distribution.html
165 B
17. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4
50 MB
17. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.srt
4.9 kB
17. Statistics - Inferential Statistics Fundamentals/5. The Normal Distribution.html
165 B
17. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4
22 MB
17. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.srt
3.9 kB
17. Statistics - Inferential Statistics Fundamentals/6.1 3.4. Standard normal distribution_lesson.xlsx
10 kB
17. Statistics - Inferential Statistics Fundamentals/7. The Standard Normal Distribution.html
165 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
24 kB
17. Statistics - Inferential Statistics Fundamentals/8.2 3.4.Standard-normal-distribution-exercise.xlsx
12 kB
17. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4
63 MB
17. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.srt
5.6 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.srt
3.3 kB
18. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4
47 MB
18. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.srt
6.1 kB
18. Statistics - Inferential Statistics Confidence Intervals/11. Margin of Error.html
165 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.srt
8.0 kB
18. Statistics - Inferential Statistics Confidence Intervals/12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.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_solution.xlsx
14 kB
18. Statistics - Inferential Statistics Confidence Intervals/13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise.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).srt
6.1 kB
18. Statistics - Inferential Statistics Confidence Intervals/14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.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
10 kB
18. Statistics - Inferential Statistics Confidence Intervals/15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.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).srt
4.5 kB
18. Statistics - Inferential Statistics Confidence Intervals/16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.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
9.2 kB
18. Statistics - Inferential Statistics Confidence Intervals/17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.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).srt
2.0 kB
18. Statistics - Inferential Statistics Confidence Intervals/2. What are Confidence Intervals.html
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32. Advanced Statistical Methods - Linear Regression with StatsModels/5. Geometrical Representation of the Linear Regression Model.mp4
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32. Advanced Statistical Methods - Linear Regression with StatsModels/6. Geometrical Representation of the Linear Regression Model.html
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32. Advanced Statistical Methods - Linear Regression with StatsModels/7. Python Packages Installation.mp4
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32. Advanced Statistical Methods - Linear Regression with StatsModels/8. First Regression in Python.mp4
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32. Advanced Statistical Methods - Linear Regression with StatsModels/9. First Regression in Python Exercise.html
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/1. Multiple Linear Regression.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/11. A2 No Endogeneity.mp4
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33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/13. A3 Normality and Homoscedasticity.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/18.1 Dealing with categorical data.html
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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/4. Adjusted R-Squared.html
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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/5.1 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/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/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/2. How are we Going to Approach this Section.mp4
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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/3.2 Simple Linear Regression with sklearn with Comments.html
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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/4.1 1.01. Simple linear regression.csv
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34. Advanced Statistical Methods - Linear Regression with sklearn/4.3 Simple Linear Regression with sklearn.html
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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/7.3 Multiple Linear Regression with sklearn with Comments.html
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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/8.2 Multiple Linear Regression and Adjusted R-squared.html
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34. Advanced Statistical Methods - Linear Regression with sklearn/8.3 Multiple Linear Regression and Adjusted R-squared with Comments.html
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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/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/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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36. Advanced Statistical Methods - Logistic Regression/1. Introduction to Logistic Regression.mp4
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36. Advanced Statistical Methods - Logistic Regression/1.1 Course_Notes_Logistic_Regression.pdf
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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/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/2.1 Course_Notes_Logistic_Regression.pdf
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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/6. An Invaluable Coding Tip.mp4
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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/8.1 Bank_data.csv
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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.srt
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37. Advanced Statistical Methods - Cluster Analysis/1.1 Course_Notes_Cluster_Analysis.pdf
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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/2.1 Course_Notes_Cluster_Analysis.pdf
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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/10. Relationship between Clustering and Regression.mp4
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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/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/3. A Simple Example of Clustering - Exercise.html
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38. Advanced Statistical Methods - K-Means Clustering/3.1 Countries_exercise.csv
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38. Advanced Statistical Methods - K-Means Clustering/3.2 A simple example of clustering.html
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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/6. How to Choose the Number of Clusters.mp4
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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 Countries_exercise.csv
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38. Advanced Statistical Methods - K-Means Clustering/7.2 How to choose the number of clusters.html
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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/9. To Standardize or not to Standardize.mp4
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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/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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40. Part 6 Mathematics/1. What is a Matrix.mp4
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40. Part 6 Mathematics/12. Errors when Adding Matrices.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/16. Why is Linear Algebra Useful.mp4
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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/7. Arrays in Python - A Convenient Way To Represent Matrices.mp4
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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.srt
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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/1.1 Course Notes - Section 2.pdf
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42. Deep Learning - Introduction to Neural Networks/10. The Linear Model with Multiple Inputs.html
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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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44. Deep Learning - TensorFlow 2.0 Introduction/1. How to Install TensorFlow 2.0.mp4
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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
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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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46. Deep Learning - Overfitting/1. What is Overfitting.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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47. Deep Learning - Initialization/1. What is Initialization.mp4
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47. Deep Learning - Initialization/3. State-of-the-Art Method - (Xavier) Glorot Initialization.mp4
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48. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/1. Stochastic Gradient Descent.mp4
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49. Deep Learning - Preprocessing/1. Preprocessing Introduction.mp4
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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/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/4. Techniques for Working with 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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50. Deep Learning - Classifying on the MNIST Dataset/1. MNIST The Dataset.mp4
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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/4. MNIST Preprocess the Data - Create a Validation Set and Scale It.mp4
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50. Deep Learning - Classifying on the MNIST Dataset/6. MNIST Preprocess the Data - Shuffle and Batch.mp4
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51. Deep Learning - Business Case Example/1. Business Case Exploring the Dataset and Identifying Predictors.mp4
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51. Deep Learning - Business Case Example/12. Business Case Final Exercise.html
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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. DeepMind and Deep Learning.html
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52. Deep Learning - Conclusion/4. An overview of CNNs.mp4
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52. Deep Learning - Conclusion/5. An Overview of RNNs.mp4
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52. Deep Learning - Conclusion/6. An Overview of non-NN Approaches.mp4
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53. Appendix Deep Learning - TensorFlow 1 Introduction/1. READ ME!!!!.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/10. Basic NN Example with TF Exercises.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/10.2 Basic NN Example with TensorFlow Exercise 2.1 Solution.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/10.3 Basic NN Example with TensorFlow (All Exercises).html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/10.4 Basic NN Example with TensorFlow Exercise 2.3 Solution.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/10.5 Basic NN Example with TensorFlow Exercise 1 Solution.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/10.6 Basic NN Example with TensorFlow Exercise 2.2 Solution.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/10.7 Basic NN Example with TensorFlow Exercise 2.4 Solution.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/10.8 Basic NN Example with TensorFlow Exercise 4 Solution.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/2. How to Install TensorFlow 1.mp4
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53. Appendix Deep Learning - TensorFlow 1 Introduction/2. How to Install TensorFlow 1.srt
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53. Appendix Deep Learning - TensorFlow 1 Introduction/3. A Note on Installing Packages in Anaconda.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/4. TensorFlow Intro.mp4
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53. Appendix Deep Learning - TensorFlow 1 Introduction/5. Actual Introduction to TensorFlow.mp4
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53. Appendix Deep Learning - TensorFlow 1 Introduction/5.1 Actual Introduction to TensorFlow.html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/5.2 Shortcuts-for-Jupyter.pdf
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53. Appendix Deep Learning - TensorFlow 1 Introduction/6. Types of File Formats, supporting Tensors.mp4
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53. Appendix Deep Learning - TensorFlow 1 Introduction/6. Types of File Formats, supporting Tensors.srt
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53. Appendix Deep Learning - TensorFlow 1 Introduction/6.1 Basic NN Example with TensorFlow (Part 1).html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/7. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.mp4
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53. Appendix Deep Learning - TensorFlow 1 Introduction/7. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.srt
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53. Appendix Deep Learning - TensorFlow 1 Introduction/7.1 Basic NN Example with TensorFlow (Part 2).html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/8. Basic NN Example with TF Loss Function and Gradient Descent.mp4
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53. Appendix Deep Learning - TensorFlow 1 Introduction/8. Basic NN Example with TF Loss Function and Gradient Descent.srt
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53. Appendix Deep Learning - TensorFlow 1 Introduction/8.1 Basic NN Example with TensorFlow (Part 3).html
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53. Appendix Deep Learning - TensorFlow 1 Introduction/9. Basic NN Example with TF Model Output.mp4
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53. Appendix Deep Learning - TensorFlow 1 Introduction/9.1 Basic NN Example with TensorFlow (Complete).html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/1. MNIST What is the MNIST Dataset.srt
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10. MNIST Solutions.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.1 TensorFlow MNIST '6. Batch size (Part 1)' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.10 TensorFlow MNIST 'Time' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.11 TensorFlow MNIST '4. Activation Functions (Part 1)' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.2 TensorFlow MNIST 'Around 98% Accuracy' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.3 TensorFlow MNIST '3. Width and Depth' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.4 TensorFlow MNIST '5. Activation Functions (Part 2)' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.5 TensorFlow MNIST '1. Width' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.6 TensorFlow MNIST '7. Batch size (Part 2)' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.7 TensorFlow MNIST '8. Learning Rate (Part 1)' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.8 TensorFlow MNIST '9. Learning Rate (Part 2)' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/10.9 TensorFlow MNIST '2. Depth' Solution.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/11. MNIST Exercises.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/11.1 TensorFlow MNIST All Exercises.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/2. MNIST How to Tackle the MNIST.srt
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/3. MNIST Relevant Packages.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/3. MNIST Relevant Packages.srt
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/3.1 TensorFlow MNIST Part 1 with Comments.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/4. MNIST Model Outline.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/4.1 TensorFlow MNIST Part 2 with Comments.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/5. MNIST Loss and Optimization Algorithm.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/5.1 TensorFlow MNIST Part 3 with Comments.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/6. Calculating the Accuracy of the Model.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/6. Calculating the Accuracy of the Model.srt
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/6.1 TensorFlow MNIST Part 4 with Comments.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/7. MNIST Batching and Early Stopping.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/7.1 TensorFlow MNIST Part 5 with Comments.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/8. MNIST Learning.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/8.1 TensorFlow MNIST Part 6 with Comments.html
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/9. MNIST Results and Testing.mp4
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/9. MNIST Results and Testing.srt
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54. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/9.1 TensorFlow MNIST Complete Code with Comments.html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/1. Business Case Getting Acquainted with the Dataset.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/1. Business Case Getting Acquainted with the Dataset.srt
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55. Appendix Deep Learning - TensorFlow 1 Business Case/1.1 Audiobooks_data.csv
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55. Appendix Deep Learning - TensorFlow 1 Business Case/10. Business Case Testing the Model.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/10. Business Case Testing the Model.srt
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55. Appendix Deep Learning - TensorFlow 1 Business Case/11. Business Case A Comment on the Homework.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/11.1 TensorFlow Business Case Homework.html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/12. Business Case Final Exercise.html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/12.1 TensorFlow Business Case Homework.html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/2. Business Case Outlining the Solution.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/3. The Importance of Working with a Balanced Dataset.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/3. The Importance of Working with a Balanced Dataset.srt
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55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/4.1 Audiobooks Preprocessing.html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/5. Business Case Preprocessing Exercise.html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/5.1 Preprocessing Exercise.html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/6. Creating a Data Provider.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/6.1 Creating a Data Provider (Class).html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/7. Business Case Model Outline.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/7.1 TensorFlow Business Case Model Outline.html
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55. Appendix Deep Learning - TensorFlow 1 Business Case/8. Business Case Optimization.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/9. Business Case Interpretation.mp4
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55. Appendix Deep Learning - TensorFlow 1 Business Case/9.1 TensorFlow Business Case Interpretation.html
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56. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.mp4
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56. Software Integration/1. What are Data, Servers, Clients, Requests, and Responses.srt
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56. Software Integration/10. Software Integration - Explained.html
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56. Software Integration/2. What are Data, Servers, Clients, Requests, and Responses.html
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56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4
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56. Software Integration/4. What are Data Connectivity, APIs, and Endpoints.html
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56. Software Integration/5. Taking a Closer Look at APIs.mp4
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56. Software Integration/6. Taking a Closer Look at APIs.html
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56. Software Integration/7. Communication between Software Products through Text Files.mp4
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56. Software Integration/7. Communication between Software Products through Text Files.srt
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56. Software Integration/8. Communication between Software Products through Text Files.html
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56. Software Integration/9. Software Integration - Explained.mp4
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57. Case Study - What's Next in the Course/1. Game Plan for this Python, SQL, and Tableau Business Exercise.mp4
52 MB
57. Case Study - What's Next in the Course/1. Game Plan for this Python, SQL, and Tableau Business Exercise.srt
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57. Case Study - What's Next in the Course/2. The Business Task.mp4
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57. Case Study - What's Next in the Course/2. The Business Task.srt
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57. Case Study - What's Next in the Course/3. Introducing the Data Set.mp4
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57. Case Study - What's Next in the Course/3. Introducing the Data Set.srt
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57. Case Study - What's Next in the Course/4. Introducing the Data Set.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/1. What to Expect from the Following Sections.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/1.1 Absenteeism_data.csv
32 kB
58. Case Study - Preprocessing the 'Absenteeism_data'/1.2 df_preprocessed.csv
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58. Case Study - Preprocessing the 'Absenteeism_data'/1.3 data_preprocessing_homework.pdf
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58. Case Study - Preprocessing the 'Absenteeism_data'/10. Analyzing the Reasons for Absence.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/10. Analyzing the Reasons for Absence.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/12. EXERCISE - Obtaining Dummies from a Single Feature.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/13. SOLUTION - Obtaining Dummies from a Single Feature.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/14. Dropping a Dummy Variable from the Data Set.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.mp4
14 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.mp4
39 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/18. EXERCISE - Using .concat() in Python.html
189 B
58. Case Study - Preprocessing the 'Absenteeism_data'/19. SOLUTION - Using .concat() in Python.html
142 B
58. Case Study - Preprocessing the 'Absenteeism_data'/2. Importing the Absenteeism Data in Python.mp4
23 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/2. Importing the Absenteeism Data in Python.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.mp4
14 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/21. EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/22. SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html
471 B
58. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.mp4
26 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/23.1 Creating Checkpoints.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/24. EXERCISE - Creating Checkpoints while Coding in Jupyter.html
137 B
58. Case Study - Preprocessing the 'Absenteeism_data'/25. SOLUTION - Creating Checkpoints while Coding in Jupyter.html
117 B
58. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.mp4
48 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.mp4
28 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/29. EXERCISE - Removing the Date Column.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/29.1 Preprocessing.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/29.2 Removing the “Date” Column.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.mp4
62 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/3. Checking the Content of the Data Set.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.mp4
30 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.mp4
40 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/32.1 Exercises and solutions.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/32.2 Preprocessing.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/33. A Note on Exporting Your Data as a .csv File.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.mp4
28 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/4. Introduction to Terms with Multiple Meanings.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/5. What's Regression Analysis - a Quick Refresher.html
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58. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.mp4
20 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/6. Using a Statistical Approach towards the Solution to the Exercise.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.mp4
62 MB
58. Case Study - Preprocessing the 'Absenteeism_data'/7. Dropping a Column from a DataFrame in Python.srt
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58. Case Study - Preprocessing the 'Absenteeism_data'/8. EXERCISE - Dropping a Column from a DataFrame in Python.html
866 B
58. Case Study - Preprocessing the 'Absenteeism_data'/9. SOLUTION - Dropping a Column from a DataFrame in Python.html
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.mp4
28 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1. Exploring the Problem with a Machine Learning Mindset.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/1.1 Absenteeism_preprocessed.csv
29 kB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.mp4
40 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.mp4
40 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11.1 Logistic Regression prior to Backward Elimination.html
226 B
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.mp4
49 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.mp4
38 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/14. ARTICLE - A Note on 'pickling'.html
2.1 kB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15. EXERCISE - Saving the Model (and Scaler).html
284 B
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.1 Logistic Regression.html
196 B
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/15.2 Logistic Regression with Comments.html
210 B
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.mp4
44 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/2. Creating the Targets for the Logistic Regression.mp4
46 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/2. Creating the Targets for the Logistic Regression.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/3. Selecting the Inputs for the Logistic Regression.mp4
17 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/3. Selecting the Inputs for the Logistic Regression.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/4. Standardizing the Data.mp4
21 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/4. Standardizing the Data.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/5. Splitting the Data for Training and Testing.mp4
53 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/5. Splitting the Data for Training and Testing.srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/6. Fitting the Model and Assessing its Accuracy.mp4
42 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/6. Fitting the Model and Assessing its Accuracy.srt
7.4 kB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/7. Creating a Summary Table with the Coefficients and Intercept.mp4
39 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/7. Creating a Summary Table with the Coefficients and Intercept.srt
6.6 kB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/8. Interpreting the Coefficients for Our Problem.mp4
52 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/8. Interpreting the Coefficients for Our Problem.srt
7.9 kB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9. Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4
41 MB
59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9. Standardizing only the Numerical Variables (Creating a Custom Scaler).srt
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59. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/9.1 Logistic Regression prior to Custom Scaler.html
219 B
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.srt
7.3 kB
6. The Field of Data Science - Popular Data Science Tools/2. Necessary Programming Languages and Software Used in Data Science.html
165 B
6. The Field of Data Science - Popular Data Science Tools/[CourseClub.Me].url
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6. The Field of Data Science - Popular Data Science Tools/[DesireCourse.Net].url
51 B
60. Case Study - Loading the 'absenteeism_module'/1. Are You Sure You're All Set.html
519 B
60. Case Study - Loading the 'absenteeism_module'/1.1 5 Files Needed to Deploy the Model.html
134 B
60. Case Study - Loading the 'absenteeism_module'/2. Deploying the 'absenteeism_module' - Part I.mp4
26 MB
60. Case Study - Loading the 'absenteeism_module'/2. Deploying the 'absenteeism_module' - Part I.srt
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60. Case Study - Loading the 'absenteeism_module'/3. Deploying the 'absenteeism_module' - Part II.mp4
54 MB
60. Case Study - Loading the 'absenteeism_module'/3. Deploying the 'absenteeism_module' - Part II.srt
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60. Case Study - Loading the 'absenteeism_module'/4. Exporting the Obtained Data Set as a .csv.html
998 B
60. Case Study - Loading the 'absenteeism_module'/4.1 Deploying the ‘absenteeism_module.html
185 B
61. Case Study - Analyzing the Predicted Outputs in Tableau/1. EXERCISE - Age vs Probability.html
385 B
61. Case Study - Analyzing the Predicted Outputs in Tableau/2. Analyzing Age vs Probability in Tableau.mp4
57 MB
61. Case Study - Analyzing the Predicted Outputs in Tableau/2. Analyzing Age vs Probability in Tableau.srt
10 kB
61. Case Study - Analyzing the Predicted Outputs in Tableau/2.1 Absenteeism_predictions.csv
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61. Case Study - Analyzing the Predicted Outputs in Tableau/3. EXERCISE - Reasons vs Probability.html
397 B
61. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.mp4
59 MB
61. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.srt
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61. Case Study - Analyzing the Predicted Outputs in Tableau/5. EXERCISE - Transportation Expense vs Probability.html
553 B
61. Case Study - Analyzing the Predicted Outputs in Tableau/6. Analyzing Transportation Expense vs Probability in Tableau.mp4
41 MB
61. Case Study - Analyzing the Predicted Outputs in Tableau/6. Analyzing Transportation Expense vs Probability in Tableau.srt
7.2 kB
62. Bonus Lecture/1. Bonus Lecture Next Steps.html
2.5 kB
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.srt
4.5 kB
7. The Field of Data Science - Careers in Data Science/2. Finding the Job - What to Expect and What to Look for.html
165 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.srt
5.3 kB
8. The Field of Data Science - Debunking Common Misconceptions/2. Debunking Common Misconceptions.html
165 B
9. Part 2 Probability/1. The Basic Probability Formula.mp4
86 MB
9. Part 2 Probability/1. The Basic Probability Formula.srt
8.9 kB
9. Part 2 Probability/1.1 Course Notes - Basic Probability.pdf
371 kB
9. Part 2 Probability/2. The Basic Probability Formula.html
165 B
9. Part 2 Probability/3. Computing Expected Values.mp4
76 MB
9. Part 2 Probability/3. Computing Expected Values.srt
6.7 kB
9. Part 2 Probability/4. Computing Expected Values.html
165 B
9. Part 2 Probability/5. Frequency.mp4
62 MB
9. Part 2 Probability/5. Frequency.srt
6.4 kB
9. Part 2 Probability/6. Frequency.html
165 B
9. Part 2 Probability/7. Events and Their Complements.mp4
59 MB
9. Part 2 Probability/7. Events and Their Complements.srt
6.7 kB
9. Part 2 Probability/8. Events and Their Complements.html
165 B
[CourseClub.Me].url
48 B
[DesireCourse.Net].url
51 B