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Download Udemy - Learning Python for Data Analysis and Visualization (2015)

Udemy Learning Python for Data Analysis and Visualization 2015

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Udemy - Learning Python for Data Analysis and Visualization (2015)

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Total Size

3.5 GB

Total Files

104

Hash

E736880C4CE4CA784AB545EAD1648E13B5DBFCE6

/08 Data Visualization/

049 Combining Plot Styles.mp4

12.2 MB

047 Histograms.mp4

21.2 MB

051 Regression Plots.mp4

36.5 MB

048 Kernel Density Estimate Plots.mp4

64.9 MB

050 Box and Violin Plots.mp4

19.2 MB

046 Installing Seaborn.mp4

7.6 MB

052 Heatmaps and Clustered Matrices.mp4

40.9 MB

/14 Appendix D Web Scraping with Python/

104 Web Scraping Part 2.mp4

46.0 MB

103 Web Scraping Part 1.mp4

39.1 MB

/07 Working with Data Part 3/

042 GroupBy on Dict and Series.mp4

24.4 MB

045 Cross Tabulation.mp4

9.3 MB

044 Splitting Applying and Combining.mp4

23.2 MB

041 GroupBy on DataFrames.mp4

38.1 MB

043 Aggregation.mp4

45.9 MB

/01 Intro to Course and Python/

001 Course Intro.mp4

12.0 MB

002 Resources for Learning Python.mp4

3.9 MB

/13 Appendix C SQL and Python/

100 Introduction to SQL with Python.mp4

45.9 MB

101 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4

33.9 MB

102 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4

29.5 MB

/09 Example Projects/

054 Intro to Data Projects.mp4

19.6 MB

061 Data Project - Stock Market Analysis Part 2.mp4

59.6 MB

063 Data Project - Stock Market Analysis Part 4.mp4

27.1 MB

062 Data Project - Stock Market Analysis Part 3.mp4

42.0 MB

060 Data Project - Stock Market Analysis Part 1.mp4

34.0 MB

064 Data Project - Stock Market Analysis Part 5.mp4

98.5 MB

058 Titanic Project - Part 4.mp4

5.6 MB

066 Data Project - Election Analysis Part 1.mp4

46.7 MB

059 Intro to Data Project - Stock Market Analysis.mp4

34.4 MB

053 Data Projects Preview.mp4

27.0 MB

056 Titanic Project - Part 2.mp4

40.8 MB

068 Data Project - Election Analysis Part 3.mp4

41.0 MB

055 Titanic Project - Part 1.mp4

45.4 MB

065 Data Project - Intro to Election Analysis.mp4

15.6 MB

069 Data Project - Election Analysis Part 4.mp4

68.9 MB

067 Data Project - Election Analysis Part 2.mp4

59.1 MB

057 Titanic Project - Part 3.mp4

36.8 MB

/10 Machine Learning/

082 Support Vector Machines - Part 2.mp4

90.0 MB

075 Logistic Regression Part 1.mp4

75.3 MB

073 Linear Regression Part 3.mp4

72.2 MB

084 Naive Bayes Part 2.mp4

68.7 MB

079 Multi Class Classification Part 1 - Logistic Regression.mp4

71.1 MB

071 Linear Regression Part 1.mp4

61.5 MB

072 Linear Regression Part 2.mp4

55.1 MB

083 Naive Bayes Part 1.mp4

37.4 MB

076 Logistic Regression Part 2.mp4

54.3 MB

081 Support Vector Machines Part 1.mp4

68.1 MB

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

77.1 MB

074 Linear Regression Part 4.mp4

82.5 MB

078 Logistic Regression Part 4.mp4

102.7 MB

077 Logistic Regression Part 3.mp4

41.6 MB

070 Introduction to Machine Learning with SciKit Learn.mp4

48.4 MB

/03 Learning Numpy/

006 Creating arrays.mp4

13.7 MB

009 Array Transposition.mp4

7.9 MB

007 Using arrays and scalars.mp4

8.3 MB

008 Indexing Arrays.mp4

27.4 MB

012 Array Input and Output.mp4

14.7 MB

011 Array Processing.mp4

43.0 MB

010 Universal Array Function.mp4

15.7 MB

/11 Appendix A Python Overview/

085 Intro to Resources for Learning Python.mp4

28.3 MB

086 Python Overview Part 1.mp4

36.1 MB

087 Python Overview Part 2.mp4

23.0 MB

088 Python Overview Part 3.mp4

20.9 MB

/06 Working with Data Part 2/

033 Pivoting.mp4

18.8 MB

031 Combining DataFrames.mp4

20.8 MB

036 Replace.mp4

5.4 MB

039 Outliers.mp4

17.0 MB

030 Concatenate.mp4

22.2 MB

037 Rename Index.mp4

10.6 MB

029 Merge on Index.mp4

26.4 MB

038 Binning.mp4

13.7 MB

034 Duplicates in DataFrames.mp4

11.6 MB

028 Merge.mp4

38.1 MB

040 Permutation.mp4

9.2 MB

035 Mapping.mp4

8.2 MB

032 Reshaping.mp4

15.1 MB

/05 Working with Data Part 1/

027 Microsoft Excel files with Python.mp4

8.0 MB

026 HTML with Python.mp4

14.1 MB

025 JSON with Python.mp4

9.4 MB

024 Reading and Writing Text Files.mp4

26.0 MB

/02 Setup/

005 Course Environment Overview.mp4

8.7 MB

004 iPython Notebook Overview.mp4

9.3 MB

003 Installation Setup and Overview.mp4

65.0 MB

/04 Intro to Pandas/

015 Index objects.mp4

9.7 MB

021 Summary Statistics.mp4

48.3 MB

019 Data Alignment.mp4

18.6 MB

017 Drop Entry.mp4

9.7 MB

016 Reindex.mp4

33.8 MB

023 Index Hierarchy.mp4

25.2 MB

020 Rank and Sort.mp4

9.9 MB

022 Missing Data.mp4

19.8 MB

013 Series.mp4

25.9 MB

014 DataFrames.mp4

55.4 MB

018 Selecting Entries.mp4

19.0 MB

/12 Appendix B Statistics Overview/

095 Sampling Techniques.mp4

23.1 MB

090 Discrete Uniform Distribution.mp4

22.9 MB

096 T-Distribution.mp4

17.1 MB

097 Hypothesis Testing and Confidence Intervals.mp4

82.7 MB

092 Binomial Distribution.mp4

43.8 MB

089 Intro to Appendix B.mp4

7.6 MB

098 Chi Square Test and Distribution.mp4

16.5 MB

099 Bayes Theorem.mp4

38.5 MB

091 Continuous Uniform Distribution.mp4

26.4 MB

093 Poisson Distribution.mp4

42.2 MB

094 Normal Distribution.mp4

20.4 MB

 

Total files 104


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