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

Magnet Download Download Torrent
File Name
Size
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
01 - Part 1 Introduction/001 A Practical Example What You Will Learn in This Course.mp4
44 MB
01 - Part 1 Introduction/001 A Practical Example What You Will Learn in This Course_en.srt
8.2 kB
01 - Part 1 Introduction/002 What Does the Course Cover.mp4
51 MB
01 - Part 1 Introduction/002 What Does the Course Cover_en.srt
6.5 kB
01 - Part 1 Introduction/003 Download All Resources and Important FAQ.html
21 kB
01 - Part 1 Introduction/003 Download-all-resources.url
97 B
01 - Part 1 Introduction/003 FAQ-The-Data-Science-Course.pdf
306 kB
01 - Part 1 Introduction/external-links.txt
105 B
02 - The Field of Data Science - The Various Data Science Disciplines/001 Data Science and Business Buzzwords Why are there so Many.mp4
57 MB
02 - The Field of Data Science - The Various Data Science Disciplines/001 Data Science and Business Buzzwords Why are there so Many_en.srt
9.0 kB
02 - The Field of Data Science - The Various Data Science Disciplines/002 What is the difference between Analysis and Analytics.mp4
11 MB
02 - The Field of Data Science - The Various Data Science Disciplines/002 What is the difference between Analysis and Analytics_en.srt
6.1 kB
02 - The Field of Data Science - The Various Data Science Disciplines/003 365-DataScience-Diagram.pdf
323 kB
02 - The Field of Data Science - The Various Data Science Disciplines/003 Business Analytics, Data Analytics, and Data Science An Introduction.mp4
53 MB
02 - The Field of Data Science - The Various Data Science Disciplines/003 Business Analytics, Data Analytics, and Data Science An Introduction_en.srt
13 kB
02 - The Field of Data Science - The Various Data Science Disciplines/004 365-DataScience-Diagram.pdf
323 kB
02 - The Field of Data Science - The Various Data Science Disciplines/004 365-DataScience.png
6.9 MB
02 - The Field of Data Science - The Various Data Science Disciplines/004 Continuing with BI, ML, and AI.mp4
37 MB
02 - The Field of Data Science - The Various Data Science Disciplines/004 Continuing with BI, ML, and AI_en.srt
15 kB
02 - The Field of Data Science - The Various Data Science Disciplines/005 365-DataScience.png
6.9 MB
02 - The Field of Data Science - The Various Data Science Disciplines/005 A Breakdown of our Data Science Infographic.mp4
45 MB
02 - The Field of Data Science - The Various Data Science Disciplines/005 A Breakdown of our Data Science Infographic_en.srt
6.1 kB
03 - The Field of Data Science - Connecting the Data Science Disciplines/0. Websites you may like/[CourseClub.Me].url
122 B
03 - The Field of Data Science - Connecting the Data Science Disciplines/0. Websites you may like/[FreeCourseSite.com].url
127 B
03 - The Field of Data Science - Connecting the Data Science Disciplines/0. Websites you may like/[GigaCourse.Com].url
49 B
03 - The Field of Data Science - Connecting the Data Science Disciplines/001 Applying Traditional Data, Big Data, BI, Traditional Data Science and ML_en.srt
11 kB
03 - The Field of Data Science - Connecting the Data Science Disciplines/temp/index_13908866.mpd
59 kB
04 - The Field of Data Science - The Benefits of Each Discipline/001 The Reason Behind These Disciplines.mp4
47 MB
04 - The Field of Data Science - The Benefits of Each Discipline/001 The Reason Behind These Disciplines_en.srt
7.8 kB
05 - The Field of Data Science - Popular Data Science Techniques/001 Techniques for Working with Traditional Data.mp4
107 MB
05 - The Field of Data Science - Popular Data Science Techniques/001 Techniques for Working with Traditional Data_en.srt
13 kB
05 - The Field of Data Science - Popular Data Science Techniques/002 Real Life Examples of Traditional Data.mp4
18 MB
05 - The Field of Data Science - Popular Data Science Techniques/002 Real Life Examples of Traditional Data_en.srt
2.8 kB
05 - The Field of Data Science - Popular Data Science Techniques/003 Techniques for Working with Big Data.mp4
62 MB
05 - The Field of Data Science - Popular Data Science Techniques/003 Techniques for Working with Big Data_en.srt
7.0 kB
05 - The Field of Data Science - Popular Data Science Techniques/004 Real Life Examples of Big Data.mp4
13 MB
05 - The Field of Data Science - Popular Data Science Techniques/004 Real Life Examples of Big Data_en.srt
2.2 kB
05 - The Field of Data Science - Popular Data Science Techniques/005 Business Intelligence (BI) Techniques.mp4
53 MB
05 - The Field of Data Science - Popular Data Science Techniques/005 Business Intelligence (BI) Techniques_en.srt
10 kB
05 - The Field of Data Science - Popular Data Science Techniques/006 Real Life Examples of Business Intelligence (BI).mp4
25 MB
05 - The Field of Data Science - Popular Data Science Techniques/006 Real Life Examples of Business Intelligence (BI)_en.srt
2.7 kB
05 - The Field of Data Science - Popular Data Science Techniques/007 Techniques for Working with Traditional Methods.mp4
76 MB
05 - The Field of Data Science - Popular Data Science Techniques/007 Techniques for Working with Traditional Methods_en.srt
14 kB
05 - The Field of Data Science - Popular Data Science Techniques/008 Real Life Examples of Traditional Methods.mp4
27 MB
05 - The Field of Data Science - Popular Data Science Techniques/008 Real Life Examples of Traditional Methods_en.srt
4.3 kB
05 - The Field of Data Science - Popular Data Science Techniques/009 Machine Learning (ML) Techniques.mp4
49 MB
05 - The Field of Data Science - Popular Data Science Techniques/009 Machine Learning (ML) Techniques_en.srt
11 kB
05 - The Field of Data Science - Popular Data Science Techniques/010 Types of Machine Learning.mp4
81 MB
05 - The Field of Data Science - Popular Data Science Techniques/010 Types of Machine Learning_en.srt
13 kB
05 - The Field of Data Science - Popular Data Science Techniques/011 Real Life Examples of Machine Learning (ML).mp4
28 MB
05 - The Field of Data Science - Popular Data Science Techniques/011 Real Life Examples of Machine Learning (ML)_en.srt
3.6 kB
06 - The Field of Data Science - Popular Data Science Tools/001 Necessary Programming Languages and Software Used in Data Science.encrypted.m4a.part
0 B
06 - The Field of Data Science - Popular Data Science Tools/001 Necessary Programming Languages and Software Used in Data Science.encrypted.m4a.part.frag.urls
61 kB
06 - The Field of Data Science - Popular Data Science Tools/001 Necessary Programming Languages and Software Used in Data Science.encrypted.mp4.part
0 B
06 - The Field of Data Science - Popular Data Science Tools/001 Necessary Programming Languages and Software Used in Data Science.encrypted.mp4.part.frag.urls
61 kB
06 - The Field of Data Science - Popular Data Science Tools/001 Necessary Programming Languages and Software Used in Data Science_en.srt
9.6 kB
06 - The Field of Data Science - Popular Data Science Tools/temp/index_13040208.mpd
41 kB
07 - The Field of Data Science - Careers in Data Science/001 Finding the Job - What to Expect and What to Look for.mp4
14 MB
07 - The Field of Data Science - Careers in Data Science/001 Finding the Job - What to Expect and What to Look for_en.srt
5.6 kB
08 - The Field of Data Science - Debunking Common Misconceptions/001 Debunking Common Misconceptions.mp4
59 MB
08 - The Field of Data Science - Debunking Common Misconceptions/001 Debunking Common Misconceptions_en.srt
6.6 kB
09 - Part 2 Probability/001 Course-Notes-Basic-Probability.pdf
371 kB
09 - Part 2 Probability/001 The Basic Probability Formula.mp4
29 MB
09 - Part 2 Probability/001 The Basic Probability Formula_en.srt
11 kB
09 - Part 2 Probability/002 Computing Expected Values.mp4
46 MB
09 - Part 2 Probability/002 Computing Expected Values_en.srt
8.3 kB
09 - Part 2 Probability/003 Frequency.mp4
37 MB
09 - Part 2 Probability/003 Frequency_en.srt
8.3 kB
09 - Part 2 Probability/004 Events and Their Complements.mp4
26 MB
09 - Part 2 Probability/004 Events and Their Complements_en.srt
8.5 kB
10 - Probability - Combinatorics/001 Course-Notes-Combinatorics.pdf
226 kB
10 - Probability - Combinatorics/001 Fundamentals of Combinatorics.mp4
5.9 MB
10 - Probability - Combinatorics/001 Fundamentals of Combinatorics_en.srt
1.7 kB
10 - Probability - Combinatorics/002 Permutations and How to Use Them.mp4
18 MB
10 - Probability - Combinatorics/002 Permutations and How to Use Them_en.srt
5.3 kB
10 - Probability - Combinatorics/003 Simple Operations with Factorials.mp4
17 MB
10 - Probability - Combinatorics/003 Simple Operations with Factorials_en.srt
4.1 kB
10 - Probability - Combinatorics/004 Solving Variations with Repetition.mp4
14 MB
10 - Probability - Combinatorics/004 Solving Variations with Repetition_en.srt
4.5 kB
10 - Probability - Combinatorics/005 Solving Variations without Repetition.mp4
18 MB
10 - Probability - Combinatorics/005 Solving Variations without Repetition_en.srt
5.9 kB
10 - Probability - Combinatorics/006 Combinations-With-Repetition.pdf
207 kB
10 - Probability - Combinatorics/006 Solving Combinations.mp4
24 MB
10 - Probability - Combinatorics/006 Solving Combinations_en.srt
7.2 kB
10 - Probability - Combinatorics/007 Symmetry of Combinations.mp4
14 MB
10 - Probability - Combinatorics/007 Symmetry of Combinations_en.srt
5.4 kB
10 - Probability - Combinatorics/007 Symmetry-Explained.pdf
85 kB
10 - Probability - Combinatorics/008 Solving Combinations with Separate Sample Spaces.mp4
11 MB
10 - Probability - Combinatorics/008 Solving Combinations with Separate Sample Spaces_en.srt
4.9 kB
10 - Probability - Combinatorics/009 Combinatorics in Real-Life The Lottery.mp4
16 MB
10 - Probability - Combinatorics/009 Combinatorics in Real-Life The Lottery_en.srt
5.1 kB
10 - Probability - Combinatorics/010 A Recap of Combinatorics.mp4
15 MB
10 - Probability - Combinatorics/010 A Recap of Combinatorics_en.srt
4.6 kB
10 - Probability - Combinatorics/011 A Practical Example of Combinatorics.mp4
43 MB
10 - Probability - Combinatorics/011 A Practical Example of Combinatorics_en.srt
18 kB
10 - Probability - Combinatorics/011 Additional-Exercises-Combinatorics-Solutions.pdf
246 kB
10 - Probability - Combinatorics/011 Additional-Exercises-Combinatorics.pdf
107 kB
11 - Probability - Bayesian Inference/001 Course-Notes-Bayesian-Inference.pdf
386 kB
11 - Probability - Bayesian Inference/001 Sets and Events.mp4
18 MB
11 - Probability - Bayesian Inference/001 Sets and Events_en.srt
6.5 kB
11 - Probability - Bayesian Inference/002 Ways Sets Can Interact.mp4
19 MB
11 - Probability - Bayesian Inference/002 Ways Sets Can Interact_en.srt
5.5 kB
11 - Probability - Bayesian Inference/003 Intersection of Sets.mp4
11 MB
11 - Probability - Bayesian Inference/003 Intersection of Sets_en.srt
3.1 kB
11 - Probability - Bayesian Inference/004 Union of Sets.mp4
24 MB
11 - Probability - Bayesian Inference/004 Union of Sets_en.srt
7.5 kB
11 - Probability - Bayesian Inference/005 Mutually Exclusive Sets.mp4
11 MB
11 - Probability - Bayesian Inference/005 Mutually Exclusive Sets_en.srt
3.3 kB
11 - Probability - Bayesian Inference/006 Dependence and Independence of Sets.mp4
15 MB
11 - Probability - Bayesian Inference/006 Dependence and Independence of Sets_en.srt
4.1 kB
11 - Probability - Bayesian Inference/007 The Conditional Probability Formula.mp4
17 MB
11 - Probability - Bayesian Inference/007 The Conditional Probability Formula_en.srt
7.2 kB
11 - Probability - Bayesian Inference/008 The Law of Total Probability.mp4
12 MB
11 - Probability - Bayesian Inference/008 The Law of Total Probability_en.srt
4.8 kB
11 - Probability - Bayesian Inference/009 The Additive Rule.mp4
11 MB
11 - Probability - Bayesian Inference/009 The Additive Rule_en.srt
3.1 kB
11 - Probability - Bayesian Inference/010 The Multiplication Law.mp4
20 MB
11 - Probability - Bayesian Inference/010 The Multiplication Law_en.srt
5.6 kB
11 - Probability - Bayesian Inference/011 Bayes' Law.mp4
21 MB
11 - Probability - Bayesian Inference/011 Bayes' Law_en.srt
9.2 kB
11 - Probability - Bayesian Inference/012 A Practical Example of Bayesian Inference.mp4
139 MB
11 - Probability - Bayesian Inference/012 A Practical Example of Bayesian Inference_en.srt
24 kB
11 - Probability - Bayesian Inference/012 Bayesian-Homework-Solutions.pdf
30 kB
11 - Probability - Bayesian Inference/012 Bayesian-Homework.pdf
27 kB
11 - Probability - Bayesian Inference/012 CDS-2017-2018-Hamilton.pdf
845 kB
12 - Probability - Distributions/001 Course-Notes-Probability-Distributions.pdf
464 kB
12 - Probability - Distributions/001 Fundamentals of Probability Distributions.mp4
19 MB
12 - Probability - Distributions/001 Fundamentals of Probability Distributions_en.srt
10 kB
12 - Probability - Distributions/002 Types of Probability Distributions.mp4
36 MB
12 - Probability - Distributions/002 Types of Probability Distributions_en.srt
13 kB
12 - Probability - Distributions/003 Characteristics of Discrete Distributions.mp4
9.4 MB
12 - Probability - Distributions/003 Characteristics of Discrete Distributions_en.srt
3.0 kB
12 - Probability - Distributions/004 Discrete Distributions The Uniform Distribution.mp4
10 MB
12 - Probability - Distributions/004 Discrete Distributions The Uniform Distribution_en.srt
3.4 kB
12 - Probability - Distributions/005 Discrete Distributions The Bernoulli Distribution.mp4
15 MB
12 - Probability - Distributions/005 Discrete Distributions The Bernoulli Distribution_en.srt
6.5 kB
12 - Probability - Distributions/006 Discrete Distributions The Binomial Distribution.mp4
31 MB
12 - Probability - Distributions/006 Discrete Distributions The Binomial Distribution_en.srt
11 kB
12 - Probability - Distributions/007 Discrete Distributions The Poisson Distribution.mp4
24 MB
12 - Probability - Distributions/007 Discrete Distributions The Poisson Distribution_en.srt
8.7 kB
12 - Probability - Distributions/007 Poisson-Expected-Value-and-Variance.pdf
146 kB
12 - Probability - Distributions/008 Characteristics of Continuous Distributions.mp4
36 MB
12 - Probability - Distributions/008 Characteristics of Continuous Distributions_en.srt
11 kB
12 - Probability - Distributions/008 Solving-Integrals.pdf
344 kB
12 - Probability - Distributions/009 Continuous Distributions The Normal Distribution.mp4
20 MB
12 - Probability - Distributions/009 Continuous Distributions The Normal Distribution_en.srt
6.1 kB
12 - Probability - Distributions/009 Normal-Distribution-Exp-and-Var.pdf
144 kB
12 - Probability - Distributions/010 Continuous Distributions The Standard Normal Distribution.mp4
38 MB
12 - Probability - Distributions/010 Continuous Distributions The Standard Normal Distribution_en.srt
6.8 kB
12 - Probability - Distributions/011 Continuous Distributions The Students' T Distribution.mp4
9.2 MB
12 - Probability - Distributions/011 Continuous Distributions The Students' T Distribution_en.srt
3.8 kB
12 - Probability - Distributions/012 Continuous Distributions The Chi-Squared Distribution.mp4
21 MB
12 - Probability - Distributions/012 Continuous Distributions The Chi-Squared Distribution_en.srt
3.5 kB
12 - Probability - Distributions/013 Continuous Distributions The Exponential Distribution.mp4
16 MB
12 - Probability - Distributions/013 Continuous Distributions The Exponential Distribution_en.srt
5.4 kB
12 - Probability - Distributions/014 Continuous Distributions The Logistic Distribution.mp4
16 MB
12 - Probability - Distributions/014 Continuous Distributions The Logistic Distribution_en.srt
6.4 kB
12 - Probability - Distributions/015 A Practical Example of Probability Distributions.mp4
138 MB
12 - Probability - Distributions/015 A Practical Example of Probability Distributions_en.srt
26 kB
12 - Probability - Distributions/015 Customers-Membership-post.xlsx
16 kB
12 - Probability - Distributions/015 Customers-Membership.xlsx
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12 - Probability - Distributions/015 Daily-Views-post.xlsx
20 kB
12 - Probability - Distributions/015 Daily-Views.xlsx
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12 - Probability - Distributions/015 FIFA19-post.csv
8.6 MB
12 - Probability - Distributions/015 FIFA19.csv
8.6 MB
13 - Probability - Probability in Other Fields/001 Probability in Finance.mp4
40 MB
13 - Probability - Probability in Other Fields/001 Probability in Finance_en.srt
12 kB
13 - Probability - Probability in Other Fields/001 Probability-in-Finance-Homework.pdf
111 kB
13 - Probability - Probability in Other Fields/001 Probability-in-Finance-Solutions.pdf
184 kB
13 - Probability - Probability in Other Fields/002 Probability in Statistics.mp4
32 MB
13 - Probability - Probability in Other Fields/002 Probability in Statistics_en.srt
11 kB
13 - Probability - Probability in Other Fields/003 Probability in Data Science.mp4
57 MB
13 - Probability - Probability in Other Fields/003 Probability in Data Science_en.srt
8.5 kB
13 - Probability - Probability in Other Fields/003 Probability-Cheat-Sheet.pdf
320 kB
14 - Part 3 Statistics/001 Course-notes-descriptive-statistics.pdf
482 kB
14 - Part 3 Statistics/001 Population and Sample.mp4
35 MB
14 - Part 3 Statistics/001 Population and Sample_en.srt
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14 - Part 3 Statistics/001 Statistics-Glossary.xlsx
20 kB
15 - Statistics - Descriptive Statistics/001 Course-notes-descriptive-statistics.pdf
482 kB
15 - Statistics - Descriptive Statistics/001 Glossary.xlsx
20 kB
15 - Statistics - Descriptive Statistics/001 Types of Data.mp4
43 MB
15 - Statistics - Descriptive Statistics/001 Types of Data_en.srt
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15 - Statistics - Descriptive Statistics/002 Levels of Measurement.mp4
32 MB
15 - Statistics - Descriptive Statistics/002 Levels of Measurement_en.srt
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15 - Statistics - Descriptive Statistics/003 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx
31 kB
15 - Statistics - Descriptive Statistics/003 Categorical Variables - Visualization Techniques.mp4
37 MB
15 - Statistics - Descriptive Statistics/003 Categorical Variables - Visualization Techniques_en.srt
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15 - Statistics - Descriptive Statistics/004 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/004 2.3.Categorical-variables.Visualization-techniques-exercise.xlsx
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15 - Statistics - Descriptive Statistics/004 Categorical Variables Exercise.html
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15 - Statistics - Descriptive Statistics/004 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf
289 kB
15 - Statistics - Descriptive Statistics/005 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx
11 kB
15 - Statistics - Descriptive Statistics/005 Numerical Variables - Frequency Distribution Table.mp4
18 MB
15 - Statistics - Descriptive Statistics/005 Numerical Variables - Frequency Distribution Table_en.srt
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15 - Statistics - Descriptive Statistics/006 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/006 Numerical Variables Exercise.html
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15 - Statistics - Descriptive Statistics/007 2.5.The-Histogram-lesson.xlsx
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15 - Statistics - Descriptive Statistics/007 The Histogram.mp4
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15 - Statistics - Descriptive Statistics/007 The Histogram_en.srt
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15 - Statistics - Descriptive Statistics/008 2.5.The-Histogram-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/008 2.5.The-Histogram-exercise.xlsx
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81 B
15 - Statistics - Descriptive Statistics/008 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf
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15 - Statistics - Descriptive Statistics/009 2.6.Cross-table-and-scatter-plot.xlsx
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15 - Statistics - Descriptive Statistics/009 Cross Tables and Scatter Plots.mp4
20 MB
15 - Statistics - Descriptive Statistics/009 Cross Tables and Scatter Plots_en.srt
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15 - Statistics - Descriptive Statistics/010 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/010 2.6.Cross-table-and-scatter-plot-exercise.xlsx
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15 - Statistics - Descriptive Statistics/010 Cross Tables and Scatter Plots Exercise.html
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15 - Statistics - Descriptive Statistics/011 2.7.Mean-median-and-mode-lesson.xlsx
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15 - Statistics - Descriptive Statistics/011 Mean, median and mode.mp4
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15 - Statistics - Descriptive Statistics/011 Mean, median and mode_en.srt
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15 - Statistics - Descriptive Statistics/012 2.7.Mean-median-and-mode-exercise.xlsx
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15 - Statistics - Descriptive Statistics/012 Mean, Median and Mode Exercise.html
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15 - Statistics - Descriptive Statistics/013 2.8.Skewness-lesson.xlsx
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15 - Statistics - Descriptive Statistics/013 Skewness.mp4
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15 - Statistics - Descriptive Statistics/013 Skewness_en.srt
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15 - Statistics - Descriptive Statistics/014 2.8.Skewness-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/014 2.8.Skewness-exercise.xlsx
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15 - Statistics - Descriptive Statistics/014 Skewness Exercise.html
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15 - Statistics - Descriptive Statistics/015 2.9.Variance-lesson.xlsx
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15 - Statistics - Descriptive Statistics/015 Variance.mp4
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15 - Statistics - Descriptive Statistics/015 Variance_en.srt
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15 - Statistics - Descriptive Statistics/016 2.9.Variance-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/016 2.9.Variance-exercise.xlsx
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15 - Statistics - Descriptive Statistics/016 Variance Exercise.html
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15 - Statistics - Descriptive Statistics/017 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx
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15 - Statistics - Descriptive Statistics/017 Standard Deviation and Coefficient of Variation.mp4
20 MB
15 - Statistics - Descriptive Statistics/017 Standard Deviation and Coefficient of Variation_en.srt
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15 - Statistics - Descriptive Statistics/018 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/018 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx
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15 - Statistics - Descriptive Statistics/018 Standard Deviation and Coefficient of Variation Exercise.html
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15 - Statistics - Descriptive Statistics/019 2.11.Covariance-lesson.xlsx
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15 - Statistics - Descriptive Statistics/019 Covariance.mp4
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15 - Statistics - Descriptive Statistics/019 Covariance_en.srt
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15 - Statistics - Descriptive Statistics/020 2.11.Covariance-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/020 2.11.Covariance-exercise.xlsx
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15 - Statistics - Descriptive Statistics/020 Covariance Exercise.html
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15 - Statistics - Descriptive Statistics/021 Correlation Coefficient.mp4
19 MB
15 - Statistics - Descriptive Statistics/021 Correlation Coefficient_en.srt
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15 - Statistics - Descriptive Statistics/022 2.12.Correlation-exercise-solution.xlsx
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15 - Statistics - Descriptive Statistics/022 2.12.Correlation-exercise.xlsx
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15 - Statistics - Descriptive Statistics/022 Correlation Coefficient Exercise.html
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16 - Statistics - Practical Example Descriptive Statistics/001 2.13.Practical-example.Descriptive-statistics-lesson.xlsx
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16 - Statistics - Practical Example Descriptive Statistics/001 Practical Example Descriptive Statistics_en.srt
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16 - Statistics - Practical Example Descriptive Statistics/002 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx
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16 - Statistics - Practical Example Descriptive Statistics/002 Practical Example Descriptive Statistics Exercise.html
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17 - Statistics - Inferential Statistics Fundamentals/001 Course-notes-inferential-statistics.pdf
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17 - Statistics - Inferential Statistics Fundamentals/001 Introduction.mp4
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17 - Statistics - Inferential Statistics Fundamentals/001 Introduction_en.srt
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17 - Statistics - Inferential Statistics Fundamentals/002 3.2.What-is-a-distribution-lesson.xlsx
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17 - Statistics - Inferential Statistics Fundamentals/002 Course-notes-inferential-statistics.pdf
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17 - Statistics - Inferential Statistics Fundamentals/002 What is a Distribution.mp4
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17 - Statistics - Inferential Statistics Fundamentals/002 What is a Distribution_en.srt
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17 - Statistics - Inferential Statistics Fundamentals/003 The Normal Distribution.mp4
28 MB
17 - Statistics - Inferential Statistics Fundamentals/003 The Normal Distribution_en.srt
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17 - Statistics - Inferential Statistics Fundamentals/004 3.4.Standard-normal-distribution-lesson.xlsx
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17 - Statistics - Inferential Statistics Fundamentals/004 The Standard Normal Distribution.mp4
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17 - Statistics - Inferential Statistics Fundamentals/004 The Standard Normal Distribution_en.srt
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17 - Statistics - Inferential Statistics Fundamentals/005 3.4.Standard-normal-distribution-exercise-solution.xlsx
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17 - Statistics - Inferential Statistics Fundamentals/005 3.4.Standard-normal-distribution-exercise.xlsx
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17 - Statistics - Inferential Statistics Fundamentals/005 The Standard Normal Distribution Exercise.html
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17 - Statistics - Inferential Statistics Fundamentals/006 Central Limit Theorem.mp4
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17 - Statistics - Inferential Statistics Fundamentals/006 Central Limit Theorem_en.srt
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17 - Statistics - Inferential Statistics Fundamentals/007 Standard error.mp4
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17 - Statistics - Inferential Statistics Fundamentals/007 Standard error_en.srt
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17 - Statistics - Inferential Statistics Fundamentals/008 Estimators and Estimates_en.srt
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18 - Statistics - Inferential Statistics Confidence Intervals/001 What are Confidence Intervals.mp4
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36 - Advanced Statistical Methods - Logistic Regression/006 An Invaluable Coding Tip.mp4
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36 - Advanced Statistical Methods - Logistic Regression/009 What do the Odds Actually Mean.mp4
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37 - Advanced Statistical Methods - Cluster Analysis/001 Course-Notes-Cluster-Analysis.pdf
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38 - Advanced Statistical Methods - K-Means Clustering/014 EXERCISE Species Segmentation with Cluster Analysis (Part 1).html
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40 - Part 6 Mathematics/001 What is a Matrix.mp4
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44 - Deep Learning - TensorFlow 2.0 Introduction/001 How to Install TensorFlow 2.0.mp4
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45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/001 Course-Notes-Section-6.pdf
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52 - Deep Learning - Conclusion/003 DeepMind and Deep Learning.html
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52 - Deep Learning - Conclusion/004 An overview of CNNs.mp4
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52 - Deep Learning - Conclusion/006 An Overview of non-NN Approaches.mp4
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53 - Appendix Deep Learning - TensorFlow 1 Introduction/001 READ ME!!!!.html
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53 - Appendix Deep Learning - TensorFlow 1 Introduction/004 TensorFlow Intro.mp4
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56 - Software Integration/001 What are Data, Servers, Clients, Requests, and Responses.mp4
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56 - Software Integration/001 What are Data, Servers, Clients, Requests, and Responses_en.srt
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56 - Software Integration/002 What are Data Connectivity, APIs, and Endpoints.mp4
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56 - Software Integration/002 What are Data Connectivity, APIs, and Endpoints_en.srt
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56 - Software Integration/003 Taking a Closer Look at APIs.mp4
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56 - Software Integration/003 Taking a Closer Look at APIs_en.srt
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56 - Software Integration/004 Communication between Software Products through Text Files.mp4
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56 - Software Integration/004 Communication between Software Products through Text Files_en.srt
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56 - Software Integration/005 Software Integration - Explained.mp4
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56 - Software Integration/005 Software Integration - Explained_en.srt
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57 - Case Study - What's Next in the Course/001 Game Plan for this Python, SQL, and Tableau Business Exercise.mp4
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57 - Case Study - What's Next in the Course/001 Game Plan for this Python, SQL, and Tableau Business Exercise_en.srt
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57 - Case Study - What's Next in the Course/002 The Business Task.mp4
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57 - Case Study - What's Next in the Course/002 The Business Task_en.srt
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57 - Case Study - What's Next in the Course/003 Introducing the Data Set.mp4
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57 - Case Study - What's Next in the Course/003 Introducing the Data Set_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/001 Absenteeism-data.csv
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58 - Case Study - Preprocessing the 'Absenteeism_data'/001 What to Expect from the Following Sections.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/001 data-preprocessing-homework.pdf
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58 - Case Study - Preprocessing the 'Absenteeism_data'/001 df-preprocessed.csv
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58 - Case Study - Preprocessing the 'Absenteeism_data'/002 Importing the Absenteeism Data in Python.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/002 Importing the Absenteeism Data in Python_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/003 Checking the Content of the Data Set.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/003 Checking the Content of the Data Set_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/004 Introduction to Terms with Multiple Meanings.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/004 Introduction to Terms with Multiple Meanings_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/005 What's Regression Analysis - a Quick Refresher.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/006 Using a Statistical Approach towards the Solution to the Exercise.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/006 Using a Statistical Approach towards the Solution to the Exercise_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/007 Dropping a Column from a DataFrame in Python.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/007 Dropping a Column from a DataFrame in Python_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/008 EXERCISE - Dropping a Column from a DataFrame in Python.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/009 SOLUTION - Dropping a Column from a DataFrame in Python.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/010 Analyzing the Reasons for Absence.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/010 Analyzing the Reasons for Absence_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/012 EXERCISE - Obtaining Dummies from a Single Feature.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/013 SOLUTION - Obtaining Dummies from a Single Feature.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/014 Dropping a Dummy Variable from the Data Set.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/015 More on Dummy Variables A Statistical Perspective.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/015 More on Dummy Variables A Statistical Perspective_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/016 Classifying the Various Reasons for Absence.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/016 Classifying the Various Reasons for Absence_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/017 Using .concat() in Python.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/017 Using .concat() in Python_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/018 EXERCISE - Using .concat() in Python.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/019 SOLUTION - Using .concat() in Python.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/020 Reordering Columns in a Pandas DataFrame in Python.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/020 Reordering Columns in a Pandas DataFrame in Python_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/021 EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/022 SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/023 Absenteeism-Exercise-Preprocessing-df-reason-mod.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/023 Creating Checkpoints while Coding in Jupyter.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/023 Creating Checkpoints while Coding in Jupyter_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/024 EXERCISE - Creating Checkpoints while Coding in Jupyter.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/025 SOLUTION - Creating Checkpoints while Coding in Jupyter.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/026 Analyzing the Dates from the Initial Data Set.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/026 Analyzing the Dates from the Initial Data Set_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/027 Extracting the Month Value from the Date Column.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/027 Extracting the Month Value from the Date Column_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/028 Extracting the Day of the Week from the Date Column.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/028 Extracting the Day of the Week from the Date Column_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/029 Absenteeism-Exercise-Preprocessing-ChP-df-date-reason-mod.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/029 Absenteeism-Exercise-Preprocessing-LECTURES.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/029 Absenteeism-Exercise-Removing-the-Date-Column-SOLUTION.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/029 EXERCISE - Removing the Date Column.html
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58 - Case Study - Preprocessing the 'Absenteeism_data'/030 Analyzing Several Straightforward Columns for this Exercise.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/030 Analyzing Several Straightforward Columns for this Exercise_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/031 Working on Education, Children, and Pets.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/031 Working on Education, Children, and Pets_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/032 Absenteeism-Exercise-EXERCISES-and-SOLUTIONS.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/032 Absenteeism-Exercise-Preprocessing-df-preprocessed.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/032 Final Remarks of this Section.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/032 Final Remarks of this Section_en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/033 A Note on Exporting Your Data as a .csv File.html
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/001 Absenteeism-preprocessed.csv
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/001 Exploring the Problem with a Machine Learning Mindset_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/002 Creating the Targets for the Logistic Regression_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/003 Selecting the Inputs for the Logistic Regression_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/004 Standardizing the Data.mp4
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/004 Standardizing the Data_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/005 Splitting the Data for Training and Testing.mp4
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/005 Splitting the Data for Training and Testing_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/006 Fitting the Model and Assessing its Accuracy.mp4
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/006 Fitting the Model and Assessing its Accuracy_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/007 Creating a Summary Table with the Coefficients and Intercept_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/008 Interpreting the Coefficients for Our Problem.mp4
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/008 Interpreting the Coefficients for Our Problem_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/009 Logistic-Regression-prior-to-Custom-Scaler.url
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/009 Standardizing only the Numerical Variables (Creating a Custom Scaler)_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/010 Interpreting the Coefficients of the Logistic Regression_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/011 Backward Elimination or How to Simplify Your Model_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/011 Logistic-Regression-prior-to-Backward-Elimination.url
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/012 Testing the Model We Created.mp4
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/012 Testing the Model We Created_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/013 Saving the Model and Preparing it for Deployment_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/014 ARTICLE - A Note on 'pickling'.html
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/015 EXERCISE - Saving the Model (and Scaler).html
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/015 Logistic-Regression-with-Comments.url
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/015 Logistic-Regression.url
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/016 Preparing the Deployment of the Model through a Module_en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/external-links.txt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15185936.mpd
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15251152.mpd
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15251154.mpd
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15251158.mpd
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15251164.mpd
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15251168.mpd
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15251170.mpd
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15256016.mpd
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/temp/index_15293084.mpd
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60 - Case Study - Loading the 'absenteeism_module'/001 Absenteeism-Exercise-Integration.ipynb
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60 - Case Study - Loading the 'absenteeism_module'/001 Absenteeism-new-data.csv
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60 - Case Study - Loading the 'absenteeism_module'/001 Are You Sure You're All Set.html
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60 - Case Study - Loading the 'absenteeism_module'/001 absenteeism-module.py
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60 - Case Study - Loading the 'absenteeism_module'/001 model
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60 - Case Study - Loading the 'absenteeism_module'/001 scaler
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60 - Case Study - Loading the 'absenteeism_module'/002 Deploying the 'absenteeism_module' - Part I.mp4
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60 - Case Study - Loading the 'absenteeism_module'/002 Deploying the 'absenteeism_module' - Part I_en.srt
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60 - Case Study - Loading the 'absenteeism_module'/003 Deploying the 'absenteeism_module' - Part II.mp4
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60 - Case Study - Loading the 'absenteeism_module'/003 Deploying the 'absenteeism_module' - Part II_en.srt
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60 - Case Study - Loading the 'absenteeism_module'/004 Absenteeism-Exercise-Deploying-the-absenteeism-module.ipynb
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60 - Case Study - Loading the 'absenteeism_module'/004 Exporting the Obtained Data Set as a .csv.html
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/001 Absenteeism-predictions.csv
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/001 EXERCISE - Age vs Probability.html
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/002 Absenteeism-predictions.csv
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/002 Analyzing Age vs Probability in Tableau.mp4
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/002 Analyzing Age vs Probability in Tableau_en.srt
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/003 EXERCISE - Reasons vs Probability.html
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/004 Analyzing Reasons vs Probability in Tableau.mp4
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/004 Analyzing Reasons vs Probability in Tableau_en.srt
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/005 EXERCISE - Transportation Expense vs Probability.html
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/006 Analyzing Transportation Expense vs Probability in Tableau.mp4
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61 - Case Study - Analyzing the Predicted Outputs in Tableau/006 Analyzing Transportation Expense vs Probability in Tableau_en.srt
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62 - Appendix - Additional Python Tools/001 Additional-Python-Tools-Exercises.ipynb
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62 - Appendix - Additional Python Tools/001 Additional-Python-Tools-Lectures.ipynb
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62 - Appendix - Additional Python Tools/001 Additional-Python-Tools-Solutions.ipynb
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62 - Appendix - Additional Python Tools/001 Using the .format() Method.mp4
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62 - Appendix - Additional Python Tools/001 Using the .format() Method_en.srt
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62 - Appendix - Additional Python Tools/002 Iterating Over Range Objects.mp4
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62 - Appendix - Additional Python Tools/002 Iterating Over Range Objects_en.srt
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62 - Appendix - Additional Python Tools/003 Introduction to Nested For Loops.mp4
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62 - Appendix - Additional Python Tools/003 Introduction to Nested For Loops_en.srt
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62 - Appendix - Additional Python Tools/004 Triple Nested For Loops.mp4
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62 - Appendix - Additional Python Tools/004 Triple Nested For Loops_en.srt
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62 - Appendix - Additional Python Tools/005 List Comprehensions.mp4
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62 - Appendix - Additional Python Tools/005 List Comprehensions_en.srt
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62 - Appendix - Additional Python Tools/006 Additional-Python-Tools-Exercises.ipynb
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62 - Appendix - Additional Python Tools/006 Additional-Python-Tools-Lectures.ipynb
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62 - Appendix - Additional Python Tools/006 Additional-Python-Tools-Solutions.ipynb
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62 - Appendix - Additional Python Tools/006 Anonymous (Lambda) Functions.mp4
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62 - Appendix - Additional Python Tools/006 Anonymous (Lambda) Functions_en.srt
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63 - Appendix - pandas Fundamentals/001 Introduction to pandas Series.mp4
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63 - Appendix - pandas Fundamentals/001 Introduction to pandas Series_en.srt
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63 - Appendix - pandas Fundamentals/001 Lending-company.csv
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63 - Appendix - pandas Fundamentals/001 Location.csv
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63 - Appendix - pandas Fundamentals/001 Region.csv
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63 - Appendix - pandas Fundamentals/001 Sales-products.csv
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63 - Appendix - pandas Fundamentals/001 pandas-Fundamentals-Exercises.ipynb
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63 - Appendix - pandas Fundamentals/001 pandas-Fundamentals-Lectures.ipynb
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63 - Appendix - pandas Fundamentals/001 pandas-Fundamentals-Solutions.ipynb
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63 - Appendix - pandas Fundamentals/002 Working with Methods in Python - Part I.mp4
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63 - Appendix - pandas Fundamentals/002 Working with Methods in Python - Part I_en.srt
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63 - Appendix - pandas Fundamentals/003 Working with Methods in Python - Part II.mp4
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63 - Appendix - pandas Fundamentals/003 Working with Methods in Python - Part II_en.srt
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63 - Appendix - pandas Fundamentals/004 Parameters and Arguments in pandas.mp4
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63 - Appendix - pandas Fundamentals/004 Parameters and Arguments in pandas_en.srt
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63 - Appendix - pandas Fundamentals/005 Using .unique() and .nunique().mp4
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63 - Appendix - pandas Fundamentals/005 Using .unique() and .nunique()_en.srt
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63 - Appendix - pandas Fundamentals/006 Using .sort_values().mp4
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63 - Appendix - pandas Fundamentals/006 Using .sort_values()_en.srt
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63 - Appendix - pandas Fundamentals/007 Introduction to pandas DataFrames - Part I.mp4
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63 - Appendix - pandas Fundamentals/007 Introduction to pandas DataFrames - Part I_en.srt
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63 - Appendix - pandas Fundamentals/008 Introduction to pandas DataFrames - Part II.mp4
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63 - Appendix - pandas Fundamentals/008 Introduction to pandas DataFrames - Part II_en.srt
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63 - Appendix - pandas Fundamentals/009 pandas DataFrames - Common Attributes.mp4
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63 - Appendix - pandas Fundamentals/009 pandas DataFrames - Common Attributes_en.srt
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63 - Appendix - pandas Fundamentals/010 Data Selection in pandas DataFrames.mp4
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63 - Appendix - pandas Fundamentals/010 Data Selection in pandas DataFrames_en.srt
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63 - Appendix - pandas Fundamentals/011 pandas DataFrames - Indexing with .iloc[].mp4
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63 - Appendix - pandas Fundamentals/011 pandas DataFrames - Indexing with .iloc[]_en.srt
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63 - Appendix - pandas Fundamentals/012 Lending-company.csv
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63 - Appendix - pandas Fundamentals/012 Location.csv
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63 - Appendix - pandas Fundamentals/012 Region.csv
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63 - Appendix - pandas Fundamentals/012 Sales-products.csv
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63 - Appendix - pandas Fundamentals/012 pandas DataFrames - Indexing with .loc[].mp4
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63 - Appendix - pandas Fundamentals/012 pandas DataFrames - Indexing with .loc[]_en.srt
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63 - Appendix - pandas Fundamentals/012 pandas-Fundamentals-Exercises.ipynb
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63 - Appendix - pandas Fundamentals/012 pandas-Fundamentals-Lectures.ipynb
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63 - Appendix - pandas Fundamentals/012 pandas-Fundamentals-Solutions.ipynb
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64 - Appendix - Working with Text Files in Python/001 An Introduction to Working with Files in Python.mp4
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64 - Appendix - Working with Text Files in Python/001 An Introduction to Working with Files in Python_en.srt
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64 - Appendix - Working with Text Files in Python/001 Common-Naming-Conventions.pdf
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64 - Appendix - Working with Text Files in Python/001 Section-Resources-Working-with-Text-Files.url
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64 - Appendix - Working with Text Files in Python/002 File vs File Object, Reading vs Parsing Data.mp4
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64 - Appendix - Working with Text Files in Python/002 File vs File Object, Reading vs Parsing Data_en.srt
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64 - Appendix - Working with Text Files in Python/003 Structured, Semi-Structured and Unstructured Data.mp4
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64 - Appendix - Working with Text Files in Python/004 Text Files and Data Connectivity.mp4
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64 - Appendix - Working with Text Files in Python/005 Importing Data in Python - Principles.mp4
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64 - Appendix - Working with Text Files in Python/005 Importing Data in Python - Principles_en.srt
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64 - Appendix - Working with Text Files in Python/006 Plain Text Files, Flat Files and More.mp4
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64 - Appendix - Working with Text Files in Python/006 Plain Text Files, Flat Files and More_en.srt
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64 - Appendix - Working with Text Files in Python/007 Text Files of Fixed Width.mp4
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64 - Appendix - Working with Text Files in Python/007 Text Files of Fixed Width_en.srt
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64 - Appendix - Working with Text Files in Python/008 Common Naming Conventions.mp4
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64 - Appendix - Working with Text Files in Python/008 Common Naming Conventions_en.srt
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64 - Appendix - Working with Text Files in Python/008 Common-Naming-Conventions.pdf
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64 - Appendix - Working with Text Files in Python/009 Importing Text Files - open().mp4
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64 - Appendix - Working with Text Files in Python/009 Importing Text Files - open()_en.srt
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64 - Appendix - Working with Text Files in Python/009 source.txt
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64 - Appendix - Working with Text Files in Python/010 source.txt
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64 - Appendix - Working with Text Files in Python/011 Importing .csv Files - Part I.mp4
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64 - Appendix - Working with Text Files in Python/011 Importing.csv-Files-with-pandas-Part-I.ipynb
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64 - Appendix - Working with Text Files in Python/011 Lending-company-single-column-data.csv
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64 - Appendix - Working with Text Files in Python/011 Lending-company.csv
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64 - Appendix - Working with Text Files in Python/012 Importing .csv Files - Part II.mp4
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64 - Appendix - Working with Text Files in Python/012 Importing .csv Files - Part II_en.srt
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64 - Appendix - Working with Text Files in Python/013 Importing .csv Files - Part III.mp4
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64 - Appendix - Working with Text Files in Python/013 Importing .csv Files - Part III_en.srt
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64 - Appendix - Working with Text Files in Python/014 Importing Data with index_col.mp4
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64 - Appendix - Working with Text Files in Python/014 Importing Data with index_col_en.srt
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64 - Appendix - Working with Text Files in Python/015 Importing Data with .loadtxt() and .genfromtxt().mp4
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64 - Appendix - Working with Text Files in Python/015 Importing-Text-Data-with-NumPy-Complete.ipynb
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64 - Appendix - Working with Text Files in Python/015 Importing-Text-Data-with-NumPy-Template.ipynb
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64 - Appendix - Working with Text Files in Python/015 Lending-Company-Numeric-Data-NAN.csv
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64 - Appendix - Working with Text Files in Python/015 Lending-Company-Numeric-Data.csv
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64 - Appendix - Working with Text Files in Python/016 Importing Data - Partial Cleaning While Importing Data.mp4
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64 - Appendix - Working with Text Files in Python/017 Importing Data with NumPy - Exercise.html
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64 - Appendix - Working with Text Files in Python/017 Importing-Text-Data-DSc-Exercise.ipynb
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64 - Appendix - Working with Text Files in Python/017 Importing-Text-Data-DSc-Solution.ipynb
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64 - Appendix - Working with Text Files in Python/018 Importing Data from .json Files.mp4
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64 - Appendix - Working with Text Files in Python/018 Importing Data from .json Files_en.srt
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64 - Appendix - Working with Text Files in Python/018 Lending-company.json
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64 - Appendix - Working with Text Files in Python/019 An Introduction to Working with Excel Files in Python.mp4
43 MB
64 - Appendix - Working with Text Files in Python/019 An Introduction to Working with Excel Files in Python_en.srt
6.6 kB
64 - Appendix - Working with Text Files in Python/020 Lending-company.xlsx
93 kB
64 - Appendix - Working with Text Files in Python/020 Working with Excel (.xlsx) Data.mp4
14 MB
64 - Appendix - Working with Text Files in Python/020 Working with Excel (.xlsx) Data_en.srt
3.4 kB
64 - Appendix - Working with Text Files in Python/021 Importing Data in Python - an Important Exercise.mp4
43 MB
64 - Appendix - Working with Text Files in Python/021 Importing Data in Python - an Important Exercise_en.srt
10 kB
64 - Appendix - Working with Text Files in Python/022 Customer-Gender.csv
7.4 kB
64 - Appendix - Working with Text Files in Python/022 Importing Data with the .squeeze() Method.mp4
22 MB
64 - Appendix - Working with Text Files in Python/022 Importing Data with the .squeeze() Method_en.srt
5.5 kB
64 - Appendix - Working with Text Files in Python/022 Importing-Data-with-the-pandas-Squeeze-Method.ipynb
20 kB
64 - Appendix - Working with Text Files in Python/023 Importing Files in Jupyter.mp4
20 MB
64 - Appendix - Working with Text Files in Python/023 Importing Files in Jupyter_en.srt
5.8 kB
64 - Appendix - Working with Text Files in Python/024 Saving Your Data with pandas.mp4
21 MB
64 - Appendix - Working with Text Files in Python/024 Saving Your Data with pandas_en.srt
5.8 kB
64 - Appendix - Working with Text Files in Python/025 Lending-Company-Saving.csv
58 kB
64 - Appendix - Working with Text Files in Python/025 Saving Your Data with NumPy - Part I - .npy.mp4
19 MB
64 - Appendix - Working with Text Files in Python/025 Saving Your Data with NumPy - Part I - .npy_en.srt
9.1 kB
64 - Appendix - Working with Text Files in Python/025 Saving-Data-NP-Complete.ipynb
9.8 kB
64 - Appendix - Working with Text Files in Python/025 Saving-Data-NP-Template.ipynb
3.2 kB
64 - Appendix - Working with Text Files in Python/026 Saving Your Data with NumPy - Part II - .npz.mp4
23 MB
64 - Appendix - Working with Text Files in Python/026 Saving Your Data with NumPy - Part II - .npz_en.srt
8.0 kB
64 - Appendix - Working with Text Files in Python/027 Saving Your Data with NumPy - Part III - .csv.mp4
21 MB
64 - Appendix - Working with Text Files in Python/027 Saving Your Data with NumPy - Part III - .csv_en.srt
6.5 kB
64 - Appendix - Working with Text Files in Python/028 Saving Data with Numpy - Exercise.html
260 B
64 - Appendix - Working with Text Files in Python/028 Saving-Data-NP-Exercise.ipynb
6.0 kB
64 - Appendix - Working with Text Files in Python/028 Saving-Data-NP-Solution.ipynb
13 kB
64 - Appendix - Working with Text Files in Python/029 Working with Text Files in Python - Conclusion.mp4
2.1 MB
64 - Appendix - Working with Text Files in Python/029 Working with Text Files in Python - Conclusion_en.srt
1.3 kB
64 - Appendix - Working with Text Files in Python/029 Working-with-Text-Files-Lectures.ipynb
28 kB
64 - Appendix - Working with Text Files in Python/external-links.txt
124 B
65 - Bonus Lecture/001 365-Data-Science-Data-Science-Interview-Questions-Guide.pdf
16 MB
65 - Bonus Lecture/001 Bonus Lecture Next Steps.html
3.1 kB