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[] learning-python-for-data-analysis-and-visualization

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文件列表

  1. 10 Machine Learning/086 Decision Trees and Random Forests.mp4 232MB
  2. 10 Machine Learning/089 Natural Language Processing Part 3.mp4 139MB
  3. 09 Example Projects/070 Data Project - Election Analysis Part 4.mp4 124MB
  4. 10 Machine Learning/090 Natural Language Processing Part 4.mp4 102MB
  5. 10 Machine Learning/079 Logistic Regression Part 4.mp4 98MB
  6. 09 Example Projects/065 Data Project - Stock Market Analysis Part 5.mp4 94MB
  7. 10 Machine Learning/088 Natural Language Processing Part 2.mp4 88MB
  8. 10 Machine Learning/083 Support Vector Machines - Part 2.mp4 86MB
  9. 11 Appendix Statistics Overview/099 Hypothesis Testing and Confidence Intervals.mp4 79MB
  10. 10 Machine Learning/075 Linear Regression Part 4.mp4 79MB
  11. 10 Machine Learning/081 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 74MB
  12. 10 Machine Learning/076 Logistic Regression Part 1.mp4 72MB
  13. 10 Machine Learning/074 Linear Regression Part 3.mp4 69MB
  14. 10 Machine Learning/080 Multi Class Classification Part 1 - Logistic Regression.mp4 68MB
  15. 10 Machine Learning/087 Natural Language Processing Part 1.mp4 66MB
  16. 10 Machine Learning/085 Naive Bayes Part 2.mp4 65MB
  17. 10 Machine Learning/082 Support Vector Machines Part 1.mp4 65MB
  18. 08 Data Visualization/049 Kernel Density Estimate Plots.mp4 62MB
  19. 09 Example Projects/054 Data Projects Preview.mp4 60MB
  20. 10 Machine Learning/072 Linear Regression Part 1.mp4 59MB
  21. 02 Setup/005 iPythonJupyter Notebook Overview.mp4 58MB
  22. 09 Example Projects/062 Data Project - Stock Market Analysis Part 2.mp4 57MB
  23. 09 Example Projects/068 Data Project - Election Analysis Part 2.mp4 56MB
  24. 04 Intro to Pandas/015 DataFrames.mp4 53MB
  25. 10 Machine Learning/073 Linear Regression Part 2.mp4 53MB
  26. 10 Machine Learning/077 Logistic Regression Part 2.mp4 52MB
  27. 10 Machine Learning/071 Introduction to Machine Learning with SciKit Learn.mp4 46MB
  28. 04 Intro to Pandas/022 Summary Statistics.mp4 46MB
  29. 09 Example Projects/067 Data Project - Election Analysis Part 1.mp4 45MB
  30. 13 Appendix Web Scraping with Python/106 Web Scraping Part 2.mp4 44MB
  31. 07 Working with Data Part 3/044 Aggregation.mp4 44MB
  32. 12 Appendix SQL and Python/102 Introduction to SQL with Python.mp4 44MB
  33. 09 Example Projects/056 Titanic Project - Part 1.mp4 43MB
  34. 11 Appendix Statistics Overview/094 Binomial Distribution.mp4 42MB
  35. 03 Learning Numpy/012 Array Processing.mp4 41MB
  36. 11 Appendix Statistics Overview/095 Poisson Distribution.mp4 40MB
  37. 09 Example Projects/063 Data Project - Stock Market Analysis Part 3.mp4 40MB
  38. 10 Machine Learning/078 Logistic Regression Part 3.mp4 40MB
  39. 09 Example Projects/069 Data Project - Election Analysis Part 3.mp4 39MB
  40. 08 Data Visualization/053 Heatmaps and Clustered Matrices.mp4 39MB
  41. 09 Example Projects/057 Titanic Project - Part 2.mp4 39MB
  42. 02 Setup/004 IDEs and Course Resources.mp4 38MB
  43. 02 Setup/003 Installation Setup and Overview.mp4 38MB
  44. 13 Appendix Web Scraping with Python/105 Web Scraping Part 1.mp4 37MB
  45. 11 Appendix Statistics Overview/101 Bayes Theorem.mp4 37MB
  46. 06 Working with Data Part 2/029 Merge.mp4 36MB
  47. 07 Working with Data Part 3/042 GroupBy on DataFrames.mp4 36MB
  48. 10 Machine Learning/084 Naive Bayes Part 1.mp4 36MB
  49. 09 Example Projects/058 Titanic Project - Part 3.mp4 35MB
  50. 08 Data Visualization/052 Regression Plots.mp4 35MB
  51. 14 Appendix Python Special Offers/107 Python Overview Part 1.mp4 34MB
  52. 09 Example Projects/060 Intro to Data Project - Stock Market Analysis.mp4 33MB
  53. 09 Example Projects/061 Data Project - Stock Market Analysis Part 1.mp4 32MB
  54. 12 Appendix SQL and Python/103 SQL - SELECTDISTINCTWHEREAND OR.mp4 32MB
  55. 04 Intro to Pandas/017 Reindex.mp4 32MB
  56. 09 Example Projects/066 Data Project - Intro to Election Analysis.mp4 31MB
  57. 12 Appendix SQL and Python/104 SQL WILDCARDS ORDER BY GROUP BY and Aggregate Functions.mp4 28MB
  58. 03 Learning Numpy/009 Indexing Arrays.mp4 26MB
  59. 09 Example Projects/064 Data Project - Stock Market Analysis Part 4.mp4 26MB
  60. 06 Working with Data Part 2/030 Merge on Index.mp4 25MB
  61. 11 Appendix Statistics Overview/093 Continuous Uniform Distribution.mp4 25MB
  62. 05 Working with Data Part 1/025 Reading and Writing Text Files.mp4 25MB
  63. 04 Intro to Pandas/014 Series.mp4 25MB
  64. 04 Intro to Pandas/024 Index Hierarchy.mp4 24MB
  65. 07 Working with Data Part 3/043 GroupBy on Dict and Series.mp4 23MB
  66. 07 Working with Data Part 3/045 Splitting Applying and Combining.mp4 22MB
  67. 11 Appendix Statistics Overview/097 Sampling Techniques.mp4 22MB
  68. 14 Appendix Python Special Offers/108 Python Overview Part 2.mp4 22MB
  69. 11 Appendix Statistics Overview/092 Discrete Uniform Distribution.mp4 22MB
  70. 06 Working with Data Part 2/031 Concatenate.mp4 21MB
  71. 08 Data Visualization/048 Histograms.mp4 20MB
  72. 14 Appendix Python Special Offers/109 Python Overview Part 3.mp4 20MB
  73. 06 Working with Data Part 2/032 Combining DataFrames.mp4 20MB
  74. 11 Appendix Statistics Overview/096 Normal Distribution.mp4 19MB
  75. 04 Intro to Pandas/023 Missing Data.mp4 19MB
  76. 09 Example Projects/055 Intro to Data Projects.mp4 19MB
  77. 08 Data Visualization/051 Box and Violin Plots.mp4 18MB
  78. 04 Intro to Pandas/019 Selecting Entries.mp4 18MB
  79. 06 Working with Data Part 2/034 Pivoting.mp4 18MB
  80. 04 Intro to Pandas/020 Data Alignment.mp4 18MB
  81. 11 Appendix Statistics Overview/098 T-Distribution.mp4 16MB
  82. 06 Working with Data Part 2/040 Outliers.mp4 16MB
  83. 11 Appendix Statistics Overview/100 Chi Square Test and Distribution.mp4 16MB
  84. 03 Learning Numpy/011 Universal Array Function.mp4 15MB
  85. 06 Working with Data Part 2/033 Reshaping.mp4 14MB
  86. 03 Learning Numpy/013 Array Input and Output.mp4 14MB
  87. 05 Working with Data Part 1/027 HTML with Python.mp4 13MB
  88. 01 Intro to Course and Python/001 Course Intro.mp4 13MB
  89. 03 Learning Numpy/007 Creating arrays.mp4 13MB
  90. 06 Working with Data Part 2/039 Binning.mp4 13MB
  91. 08 Data Visualization/050 Combining Plot Styles.mp4 12MB
  92. 06 Working with Data Part 2/035 Duplicates in DataFrames.mp4 11MB
  93. 06 Working with Data Part 2/038 Rename Index.mp4 10MB
  94. 04 Intro to Pandas/021 Rank and Sort.mp4 9MB
  95. 04 Intro to Pandas/018 Drop Entry.mp4 9MB
  96. 04 Intro to Pandas/016 Index objects.mp4 9MB
  97. 05 Working with Data Part 1/026 JSON with Python.mp4 9MB
  98. 07 Working with Data Part 3/046 Cross Tabulation.mp4 9MB
  99. 06 Working with Data Part 2/041 Permutation.mp4 9MB
  100. 03 Learning Numpy/008 Using arrays and scalars.mp4 8MB
  101. 06 Working with Data Part 2/036 Mapping.mp4 8MB
  102. 05 Working with Data Part 1/028 Microsoft Excel files with Python.mp4 8MB
  103. 03 Learning Numpy/010 Array Transposition.mp4 8MB
  104. 08 Data Visualization/047 Installing Seaborn.mp4 7MB
  105. 11 Appendix Statistics Overview/091 Intro to Appendix B.mp4 7MB
  106. 09 Example Projects/059 Titanic Project - Part 4.mp4 5MB
  107. 06 Working with Data Part 2/037 Replace.mp4 5MB
  108. 01 Intro to Course and Python/002 Course FAQs.html 7KB
  109. 15 BONUS SPECIAL DISCOUNT COUPONS/110 BONUS Special Offers.html 2KB
  110. 03 Learning Numpy/006 Intro to numpy.html 1KB
  111. 09 Example Projects/attached_files/055 Intro to Data Projects/First-Data-Project.txt 302B
  112. 09 Example Projects/attached_files/056 Titanic Project - Part 1/First-Data-Project.txt 302B
  113. 02 Setup/attached_files/005 iPythonJupyter Notebook Overview/Lecture-4-Info.txt 176B
  114. 11 Appendix Statistics Overview/attached_files/091 Intro to Appendix B/Viewer-Link-For-Stats-Notes.txt 119B
  115. Freetutorials.us.url 119B
  116. [FreeTutorials.us].txt 75B