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4.3 GB

Total Files

116

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1B4370ABFE844ED681049A1B6B22C07A3297EDBA

/

Freetutorials.us.url

0.1 KB

[FreeTutorials.us].txt

0.1 KB

/02 Setup/

004 IDEs and Course Resources.mp4

40.4 MB

005 iPythonJupyter Notebook Overview.mp4

60.6 MB

003 Installation Setup and Overview.mp4

39.5 MB

/03 Learning Numpy/

011 Universal Array Function.mp4

15.7 MB

012 Array Processing.mp4

43.0 MB

013 Array Input and Output.mp4

14.7 MB

010 Array Transposition.mp4

7.9 MB

008 Using arrays and scalars.mp4

8.3 MB

009 Indexing Arrays.mp4

27.4 MB

007 Creating arrays.mp4

13.7 MB

006 Intro to numpy.html

1.2 KB

/04 Intro to Pandas/

021 Rank and Sort.mp4

9.9 MB

022 Summary Statistics.mp4

48.3 MB

023 Missing Data.mp4

19.8 MB

024 Index Hierarchy.mp4

25.2 MB

020 Data Alignment.mp4

18.6 MB

019 Selecting Entries.mp4

19.0 MB

014 Series.mp4

25.9 MB

016 Index objects.mp4

9.7 MB

015 DataFrames.mp4

55.4 MB

017 Reindex.mp4

33.8 MB

018 Drop Entry.mp4

9.7 MB

/09 Example Projects/

069 Data Project - Election Analysis Part 3.mp4

41.0 MB

068 Data Project - Election Analysis Part 2.mp4

59.1 MB

067 Data Project - Election Analysis Part 1.mp4

46.7 MB

070 Data Project - Election Analysis Part 4.mp4

129.8 MB

066 Data Project - Intro to Election Analysis.mp4

33.0 MB

063 Data Project - Stock Market Analysis Part 3.mp4

42.0 MB

060 Intro to Data Project - Stock Market Analysis.mp4

34.4 MB

059 Titanic Project - Part 4.mp4

5.6 MB

061 Data Project - Stock Market Analysis Part 1.mp4

34.0 MB

062 Data Project - Stock Market Analysis Part 2.mp4

59.6 MB

064 Data Project - Stock Market Analysis Part 4.mp4

27.1 MB

065 Data Project - Stock Market Analysis Part 5.mp4

98.5 MB

058 Titanic Project - Part 3.mp4

36.8 MB

057 Titanic Project - Part 2.mp4

40.8 MB

055 Intro to Data Projects.mp4

19.6 MB

054 Data Projects Preview.mp4

62.4 MB

056 Titanic Project - Part 1.mp4

45.4 MB

/10 Machine Learning/

073 Linear Regression Part 2.mp4

55.1 MB

072 Linear Regression Part 1.mp4

61.5 MB

071 Introduction to Machine Learning with SciKit Learn.mp4

48.4 MB

074 Linear Regression Part 3.mp4

72.2 MB

087 Natural Language Processing Part 1.mp4

68.9 MB

086 Decision Trees and Random Forests.mp4

243.4 MB

085 Naive Bayes Part 2.mp4

68.7 MB

084 Naive Bayes Part 1.mp4

37.4 MB

088 Natural Language Processing Part 2.mp4

92.7 MB

090 Natural Language Processing Part 4.mp4

106.8 MB

089 Natural Language Processing Part 3.mp4

146.2 MB

083 Support Vector Machines - Part 2.mp4

90.0 MB

082 Support Vector Machines Part 1.mp4

68.1 MB

077 Logistic Regression Part 2.mp4

54.3 MB

076 Logistic Regression Part 1.mp4

75.3 MB

078 Logistic Regression Part 3.mp4

41.6 MB

079 Logistic Regression Part 4.mp4

102.7 MB

081 Multi Class Classification Part 2 - k Nearest Neighbor.mp4

77.1 MB

080 Multi Class Classification Part 1 - Logistic Regression.mp4

71.1 MB

075 Linear Regression Part 4.mp4

82.5 MB

/08 Data Visualization/

049 Kernel Density Estimate Plots.mp4

64.9 MB

048 Histograms.mp4

21.2 MB

047 Installing Seaborn.mp4

7.6 MB

050 Combining Plot Styles.mp4

12.2 MB

052 Regression Plots.mp4

36.5 MB

053 Heatmaps and Clustered Matrices.mp4

40.9 MB

051 Box and Violin Plots.mp4

19.2 MB

/12 Appendix SQL and Python/

102 Introduction to SQL with Python.mp4

45.9 MB

103 SQL - SELECTDISTINCTWHEREAND OR.mp4

33.9 MB

104 SQL WILDCARDS ORDER BY GROUP BY and Aggregate Functions.mp4

29.5 MB

/06 Working with Data Part 2/

030 Merge on Index.mp4

26.4 MB

032 Combining DataFrames.mp4

20.8 MB

033 Reshaping.mp4

15.1 MB

034 Pivoting.mp4

18.8 MB

029 Merge.mp4

38.1 MB

035 Duplicates in DataFrames.mp4

11.6 MB

031 Concatenate.mp4

22.2 MB

036 Mapping.mp4

8.2 MB

041 Permutation.mp4

9.2 MB

038 Rename Index.mp4

10.6 MB

037 Replace.mp4

5.4 MB

040 Outliers.mp4

17.0 MB

039 Binning.mp4

13.7 MB

/05 Working with Data Part 1/

028 Microsoft Excel files with Python.mp4

8.0 MB

025 Reading and Writing Text Files.mp4

26.0 MB

026 JSON with Python.mp4

9.4 MB

027 HTML with Python.mp4

14.1 MB

/07 Working with Data Part 3/

044 Aggregation.mp4

45.9 MB

042 GroupBy on DataFrames.mp4

38.1 MB

046 Cross Tabulation.mp4

9.3 MB

045 Splitting Applying and Combining.mp4

23.2 MB

043 GroupBy on Dict and Series.mp4

24.4 MB

/01 Intro to Course and Python/

002 Course FAQs.html

7.4 KB

001 Course Intro.mp4

13.9 MB

/11 Appendix Statistics Overview/

098 T-Distribution.mp4

17.1 MB

099 Hypothesis Testing and Confidence Intervals.mp4

82.7 MB

101 Bayes Theorem.mp4

38.5 MB

100 Chi Square Test and Distribution.mp4

16.5 MB

096 Normal Distribution.mp4

20.4 MB

092 Discrete Uniform Distribution.mp4

22.9 MB

097 Sampling Techniques.mp4

23.1 MB

093 Continuous Uniform Distribution.mp4

26.4 MB

091 Intro to Appendix B.mp4

7.6 MB

095 Poisson Distribution.mp4

42.2 MB

094 Binomial Distribution.mp4

43.8 MB

/14 Appendix Python Special Offers/

108 Python Overview Part 2.mp4

23.0 MB

109 Python Overview Part 3.mp4

20.9 MB

107 Python Overview Part 1.mp4

36.1 MB

/15 BONUS SPECIAL DISCOUNT COUPONS/

110 BONUS Special Offers.html

1.7 KB

/13 Appendix Web Scraping with Python/

106 Web Scraping Part 2.mp4

46.0 MB

105 Web Scraping Part 1.mp4

39.1 MB

/.../005 iPythonJupyter Notebook Overview/

Lecture-4-Info.txt

0.2 KB

/.../055 Intro to Data Projects/

First-Data-Project.txt

0.3 KB

/.../056 Titanic Project - Part 1/

First-Data-Project.txt

0.3 KB

/.../091 Intro to Appendix B/

Viewer-Link-For-Stats-Notes.txt

0.1 KB

 

Total files 116


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