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

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  • 文件大小:3GB
  • 下载次数:363
  • 最近下载:2021-01-19 21:06:40
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文件列表

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