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

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  • 文件大小:3GB
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  • 最近下载:2021-01-21 17:58:22
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文件列表

  1. Section 10 Machine Learning/009 Logistic Regression Part 4.mp4 98MB
  2. Section 9 Example Projects/012 Data Project - Stock Market Analysis Part 5.mp4 94MB
  3. Section 10 Machine Learning/013 Support Vector Machines - Part 2.mp4 86MB
  4. Section 12 Appendix B Statistics Overview/009 Hypothesis Testing and Confidence Intervals.mp4 79MB
  5. Section 10 Machine Learning/005 Linear Regression Part 4.mp4 79MB
  6. Section 10 Machine Learning/011 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 74MB
  7. Section 10 Machine Learning/006 Logistic Regression Part 1.mp4 72MB
  8. Section 10 Machine Learning/004 Linear Regression Part 3.mp4 69MB
  9. Section 10 Machine Learning/010 Multi Class Classification Part 1 - Logistic Regression.mp4 68MB
  10. Section 9 Example Projects/017 Data Project - Election Analysis Part 4.mp4 66MB
  11. Section 10 Machine Learning/015 Naive Bayes Part 2.mp4 65MB
  12. Section 10 Machine Learning/012 Support Vector Machines Part 1.mp4 65MB
  13. Section 2 Setup/001 Installation Setup and Overview.mp4 62MB
  14. Section 8 Data Visualization/003 Kernel Density Estimate Plots.mp4 62MB
  15. Section 10 Machine Learning/002 Linear Regression Part 1.mp4 59MB
  16. Section 9 Example Projects/009 Data Project - Stock Market Analysis Part 2.mp4 57MB
  17. Section 9 Example Projects/015 Data Project - Election Analysis Part 2.mp4 56MB
  18. Section 4 Intro to Pandas/002 DataFrames.mp4 53MB
  19. Section 10 Machine Learning/003 Linear Regression Part 2.mp4 53MB
  20. Section 10 Machine Learning/007 Logistic Regression Part 2.mp4 52MB
  21. Section 10 Machine Learning/001 Introduction to Machine Learning with SciKit Learn.mp4 46MB
  22. Section 4 Intro to Pandas/009 Summary Statistics.mp4 46MB
  23. Section 9 Example Projects/014 Data Project - Election Analysis Part 1.mp4 45MB
  24. Section 14 Appendix D Web Scraping with Python/002 Web Scraping Part 2.mp4 44MB
  25. Section 7 Working with Data Part 3/003 Aggregation.mp4 44MB
  26. Section 13 Appendix C SQL and Python/001 Introduction to SQL with Python.mp4 44MB
  27. Section 9 Example Projects/003 Titanic Project - Part 1.mp4 43MB
  28. Section 12 Appendix B Statistics Overview/004 Binomial Distribution.mp4 42MB
  29. Section 3 Learning Numpy/006 Array Processing.mp4 41MB
  30. Section 12 Appendix B Statistics Overview/005 Poisson Distribution.mp4 40MB
  31. Section 9 Example Projects/010 Data Project - Stock Market Analysis Part 3.mp4 40MB
  32. Section 10 Machine Learning/008 Logistic Regression Part 3.mp4 40MB
  33. Section 9 Example Projects/016 Data Project - Election Analysis Part 3.mp4 39MB
  34. Section 8 Data Visualization/007 Heatmaps and Clustered Matrices.mp4 39MB
  35. Section 9 Example Projects/004 Titanic Project - Part 2.mp4 39MB
  36. Section 14 Appendix D Web Scraping with Python/001 Web Scraping Part 1.mp4 37MB
  37. Section 12 Appendix B Statistics Overview/011 Bayes Theorem.mp4 37MB
  38. Section 6 Working with Data Part 2/001 Merge.mp4 36MB
  39. Section 7 Working with Data Part 3/001 GroupBy on DataFrames.mp4 36MB
  40. Section 10 Machine Learning/014 Naive Bayes Part 1.mp4 36MB
  41. Section 9 Example Projects/005 Titanic Project - Part 3.mp4 35MB
  42. Section 8 Data Visualization/006 Regression Plots.mp4 35MB
  43. Section 11 Appendix A Python Overview/002 Python Overview Part 1.mp4 34MB
  44. Section 9 Example Projects/007 Intro to Data Project - Stock Market Analysis.mp4 33MB
  45. Section 9 Example Projects/008 Data Project - Stock Market Analysis Part 1.mp4 32MB
  46. Section 13 Appendix C SQL and Python/002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4 32MB
  47. Section 4 Intro to Pandas/004 Reindex.mp4 32MB
  48. Section 13 Appendix C SQL and Python/003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 28MB
  49. Section 11 Appendix A Python Overview/001 Intro to Resources for Learning Python.mp4 27MB
  50. Section 3 Learning Numpy/003 Indexing Arrays.mp4 26MB
  51. Section 9 Example Projects/011 Data Project - Stock Market Analysis Part 4.mp4 26MB
  52. Section 9 Example Projects/001 Data Projects Preview.mp4 26MB
  53. Section 6 Working with Data Part 2/002 Merge on Index.mp4 25MB
  54. Section 12 Appendix B Statistics Overview/003 Continuous Uniform Distribution.mp4 25MB
  55. Section 5 Working with Data Part 1/001 Reading and Writing Text Files.mp4 25MB
  56. Section 4 Intro to Pandas/001 Series.mp4 25MB
  57. Section 4 Intro to Pandas/011 Index Hierarchy.mp4 24MB
  58. Section 7 Working with Data Part 3/002 GroupBy on Dict and Series.mp4 23MB
  59. Section 7 Working with Data Part 3/004 Splitting Applying and Combining.mp4 22MB
  60. Section 12 Appendix B Statistics Overview/007 Sampling Techniques.mp4 22MB
  61. Section 11 Appendix A Python Overview/003 Python Overview Part 2.mp4 22MB
  62. Section 12 Appendix B Statistics Overview/002 Discrete Uniform Distribution.mp4 22MB
  63. Section 6 Working with Data Part 2/003 Concatenate.mp4 21MB
  64. Section 8 Data Visualization/002 Histograms.mp4 20MB
  65. Section 11 Appendix A Python Overview/004 Python Overview Part 3.mp4 20MB
  66. Section 6 Working with Data Part 2/004 Combining DataFrames.mp4 20MB
  67. Section 12 Appendix B Statistics Overview/006 Normal Distribution.mp4 19MB
  68. Section 4 Intro to Pandas/010 Missing Data.mp4 19MB
  69. Section 9 Example Projects/002 Intro to Data Projects.mp4 19MB
  70. Section 8 Data Visualization/005 Box and Violin Plots.mp4 18MB
  71. Section 4 Intro to Pandas/006 Selecting Entries.mp4 18MB
  72. Section 6 Working with Data Part 2/006 Pivoting.mp4 18MB
  73. Section 4 Intro to Pandas/007 Data Alignment.mp4 18MB
  74. Section 12 Appendix B Statistics Overview/008 T-Distribution.mp4 16MB
  75. Section 6 Working with Data Part 2/012 Outliers.mp4 16MB
  76. Section 12 Appendix B Statistics Overview/010 Chi Square Test and Distribution.mp4 16MB
  77. Section 3 Learning Numpy/005 Universal Array Function.mp4 15MB
  78. Section 9 Example Projects/013 Data Project - Intro to Election Analysis.mp4 15MB
  79. Section 6 Working with Data Part 2/005 Reshaping.mp4 14MB
  80. Section 3 Learning Numpy/007 Array Input and Output.mp4 14MB
  81. Section 5 Working with Data Part 1/003 HTML with Python.mp4 13MB
  82. Section 3 Learning Numpy/001 Creating arrays.mp4 13MB
  83. Section 6 Working with Data Part 2/011 Binning.mp4 13MB
  84. Section 8 Data Visualization/004 Combining Plot Styles.mp4 12MB
  85. Section 1 Intro to Course and Python/001 Course Intro.mp4 11MB
  86. Section 6 Working with Data Part 2/007 Duplicates in DataFrames.mp4 11MB
  87. Section 6 Working with Data Part 2/010 Rename Index.mp4 10MB
  88. Section 4 Intro to Pandas/008 Rank and Sort.mp4 9MB
  89. Section 4 Intro to Pandas/005 Drop Entry.mp4 9MB
  90. Section 4 Intro to Pandas/003 Index objects.mp4 9MB
  91. Section 5 Working with Data Part 1/002 JSON with Python.mp4 9MB
  92. Section 2 Setup/002 iPython Notebook Overview.mp4 9MB
  93. Section 7 Working with Data Part 3/005 Cross Tabulation.mp4 9MB
  94. Section 6 Working with Data Part 2/013 Permutation.mp4 9MB
  95. Section 2 Setup/003 Course Environment Overview.mp4 8MB
  96. Section 3 Learning Numpy/002 Using arrays and scalars.mp4 8MB
  97. Section 6 Working with Data Part 2/008 Mapping.mp4 8MB
  98. Section 5 Working with Data Part 1/004 Microsoft Excel files with Python.mp4 8MB
  99. Section 3 Learning Numpy/004 Array Transposition.mp4 8MB
  100. Section 8 Data Visualization/001 Installing Seaborn.mp4 7MB
  101. Section 12 Appendix B Statistics Overview/001 Intro to Appendix B.mp4 7MB
  102. Section 9 Example Projects/006 Titanic Project - Part 4.mp4 5MB
  103. Section 6 Working with Data Part 2/009 Replace.mp4 5MB
  104. Section 1 Intro to Course and Python/002 Resources for Learning Python.mp4 4MB
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