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[GLODLS] UDEMY Tutorials - Learning Python for Data Analysis and Visualization

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视频 2017-7-4 18:33 2024-11-22 00:36 256 3.24 GB 104
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GLODLS UDEMY Tutorials - Learning Python for Data Analysis and Visualization

文件列表
  1. Section 1 Intro to Course and Python/001 Course Intro.mp411.48MB
  2. Section 1 Intro to Course and Python/002 Resources for Learning Python.mp43.74MB
  3. Section 10 Machine Learning/009 Logistic Regression Part 4.mp497.94MB
  4. Section 10 Machine Learning/013 Support Vector Machines - Part 2.mp485.84MB
  5. Section 10 Machine Learning/005 Linear Regression Part 4.mp478.64MB
  6. Section 10 Machine Learning/011 Multi Class Classification Part 2 - k Nearest Neighbor.mp473.53MB
  7. Section 10 Machine Learning/006 Logistic Regression Part 1.mp471.8MB
  8. Section 10 Machine Learning/004 Linear Regression Part 3.mp468.85MB
  9. Section 10 Machine Learning/010 Multi Class Classification Part 1 - Logistic Regression.mp467.85MB
  10. Section 10 Machine Learning/015 Naive Bayes Part 2.mp465.48MB
  11. Section 10 Machine Learning/012 Support Vector Machines Part 1.mp464.93MB
  12. Section 10 Machine Learning/002 Linear Regression Part 1.mp458.66MB
  13. Section 10 Machine Learning/003 Linear Regression Part 2.mp452.52MB
  14. Section 10 Machine Learning/007 Logistic Regression Part 2.mp451.81MB
  15. Section 10 Machine Learning/001 Introduction to Machine Learning with SciKit Learn.mp446.17MB
  16. Section 10 Machine Learning/008 Logistic Regression Part 3.mp439.67MB
  17. Section 10 Machine Learning/014 Naive Bayes Part 1.mp435.69MB
  18. Section 11 Appendix A Python Overview/002 Python Overview Part 1.mp434.46MB
  19. Section 11 Appendix A Python Overview/001 Intro to Resources for Learning Python.mp427.02MB
  20. Section 11 Appendix A Python Overview/003 Python Overview Part 2.mp421.89MB
  21. Section 11 Appendix A Python Overview/004 Python Overview Part 3.mp419.92MB
  22. Section 12 Appendix B Statistics Overview/009 Hypothesis Testing and Confidence Intervals.mp478.87MB
  23. Section 12 Appendix B Statistics Overview/004 Binomial Distribution.mp441.74MB
  24. Section 12 Appendix B Statistics Overview/005 Poisson Distribution.mp440.25MB
  25. Section 12 Appendix B Statistics Overview/011 Bayes Theorem.mp436.76MB
  26. Section 12 Appendix B Statistics Overview/003 Continuous Uniform Distribution.mp425.22MB
  27. Section 12 Appendix B Statistics Overview/007 Sampling Techniques.mp422MB
  28. Section 12 Appendix B Statistics Overview/002 Discrete Uniform Distribution.mp421.82MB
  29. Section 12 Appendix B Statistics Overview/006 Normal Distribution.mp419.42MB
  30. Section 12 Appendix B Statistics Overview/008 T-Distribution.mp416.35MB
  31. Section 12 Appendix B Statistics Overview/010 Chi Square Test and Distribution.mp415.71MB
  32. Section 12 Appendix B Statistics Overview/001 Intro to Appendix B.mp47.24MB
  33. Section 13 Appendix C SQL and Python/001 Introduction to SQL with Python.mp443.76MB
  34. Section 13 Appendix C SQL and Python/002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp432.34MB
  35. Section 13 Appendix C SQL and Python/003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp428.13MB
  36. Section 14 Appendix D Web Scraping with Python/002 Web Scraping Part 2.mp443.82MB
  37. Section 14 Appendix D Web Scraping with Python/001 Web Scraping Part 1.mp437.31MB
  38. Section 2 Setup/001 Installation Setup and Overview.mp461.97MB
  39. Section 2 Setup/002 iPython Notebook Overview.mp48.89MB
  40. Section 2 Setup/003 Course Environment Overview.mp48.29MB
  41. Section 3 Learning Numpy/006 Array Processing.mp441.03MB
  42. Section 3 Learning Numpy/003 Indexing Arrays.mp426.16MB
  43. Section 3 Learning Numpy/005 Universal Array Function.mp414.94MB
  44. Section 3 Learning Numpy/007 Array Input and Output.mp413.97MB
  45. Section 3 Learning Numpy/001 Creating arrays.mp413.05MB
  46. Section 3 Learning Numpy/002 Using arrays and scalars.mp47.93MB
  47. Section 3 Learning Numpy/004 Array Transposition.mp47.53MB
  48. Section 4 Intro to Pandas/002 DataFrames.mp452.86MB
  49. Section 4 Intro to Pandas/009 Summary Statistics.mp446.09MB
  50. Section 4 Intro to Pandas/004 Reindex.mp432.26MB
  51. Section 4 Intro to Pandas/001 Series.mp424.75MB
  52. Section 4 Intro to Pandas/011 Index Hierarchy.mp424.03MB
  53. Section 4 Intro to Pandas/010 Missing Data.mp418.93MB
  54. Section 4 Intro to Pandas/006 Selecting Entries.mp418.12MB
  55. Section 4 Intro to Pandas/007 Data Alignment.mp417.7MB
  56. Section 4 Intro to Pandas/008 Rank and Sort.mp49.45MB
  57. Section 4 Intro to Pandas/005 Drop Entry.mp49.24MB
  58. Section 4 Intro to Pandas/003 Index objects.mp49.23MB
  59. Section 5 Working with Data Part 1/001 Reading and Writing Text Files.mp424.81MB
  60. Section 5 Working with Data Part 1/003 HTML with Python.mp413.46MB
  61. Section 5 Working with Data Part 1/002 JSON with Python.mp48.98MB
  62. Section 5 Working with Data Part 1/004 Microsoft Excel files with Python.mp47.62MB
  63. Section 6 Working with Data Part 2/001 Merge.mp436.33MB
  64. Section 6 Working with Data Part 2/002 Merge on Index.mp425.22MB
  65. Section 6 Working with Data Part 2/003 Concatenate.mp421.13MB
  66. Section 6 Working with Data Part 2/004 Combining DataFrames.mp419.88MB
  67. Section 6 Working with Data Part 2/006 Pivoting.mp417.98MB
  68. Section 6 Working with Data Part 2/012 Outliers.mp416.22MB
  69. Section 6 Working with Data Part 2/005 Reshaping.mp414.4MB
  70. Section 6 Working with Data Part 2/011 Binning.mp413.02MB
  71. Section 6 Working with Data Part 2/007 Duplicates in DataFrames.mp411.07MB
  72. Section 6 Working with Data Part 2/010 Rename Index.mp410.09MB
  73. Section 6 Working with Data Part 2/013 Permutation.mp48.74MB
  74. Section 6 Working with Data Part 2/008 Mapping.mp47.78MB
  75. Section 6 Working with Data Part 2/009 Replace.mp45.15MB
  76. Section 7 Working with Data Part 3/003 Aggregation.mp443.79MB
  77. Section 7 Working with Data Part 3/001 GroupBy on DataFrames.mp436.32MB
  78. Section 7 Working with Data Part 3/002 GroupBy on Dict and Series.mp423.31MB
  79. Section 7 Working with Data Part 3/004 Splitting Applying and Combining.mp422.15MB
  80. Section 7 Working with Data Part 3/005 Cross Tabulation.mp48.83MB
  81. Section 8 Data Visualization/003 Kernel Density Estimate Plots.mp461.86MB
  82. Section 8 Data Visualization/007 Heatmaps and Clustered Matrices.mp439.05MB
  83. Section 8 Data Visualization/006 Regression Plots.mp434.85MB
  84. Section 8 Data Visualization/002 Histograms.mp420.25MB
  85. Section 8 Data Visualization/005 Box and Violin Plots.mp418.29MB
  86. Section 8 Data Visualization/004 Combining Plot Styles.mp411.62MB
  87. Section 8 Data Visualization/001 Installing Seaborn.mp47.25MB
  88. Section 9 Example Projects/012 Data Project - Stock Market Analysis Part 5.mp493.98MB
  89. Section 9 Example Projects/017 Data Project - Election Analysis Part 4.mp465.74MB
  90. Section 9 Example Projects/009 Data Project - Stock Market Analysis Part 2.mp456.85MB
  91. Section 9 Example Projects/015 Data Project - Election Analysis Part 2.mp456.39MB
  92. Section 9 Example Projects/014 Data Project - Election Analysis Part 1.mp444.57MB
  93. Section 9 Example Projects/003 Titanic Project - Part 1.mp443.3MB
  94. Section 9 Example Projects/010 Data Project - Stock Market Analysis Part 3.mp440.01MB
  95. Section 9 Example Projects/016 Data Project - Election Analysis Part 3.mp439.06MB
  96. Section 9 Example Projects/004 Titanic Project - Part 2.mp438.92MB
  97. Section 9 Example Projects/005 Titanic Project - Part 3.mp435.08MB
  98. Section 9 Example Projects/007 Intro to Data Project - Stock Market Analysis.mp432.77MB
  99. Section 9 Example Projects/008 Data Project - Stock Market Analysis Part 1.mp432.41MB
  100. Section 9 Example Projects/011 Data Project - Stock Market Analysis Part 4.mp425.88MB
  101. Section 9 Example Projects/001 Data Projects Preview.mp425.79MB
  102. Section 9 Example Projects/002 Intro to Data Projects.mp418.67MB
  103. Section 9 Example Projects/013 Data Project - Intro to Election Analysis.mp414.9MB
  104. Section 9 Example Projects/006 Titanic Project - Part 4.mp45.32MB
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