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

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2019-8-24 10:57 2024-12-19 09:59 147 3.24 GB 104
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Udemy - Learning Python for Data Analysis and Visualization 2015

文件列表
  1. 08 Data Visualization/049 Combining Plot Styles.mp411.62MB
  2. 08 Data Visualization/047 Histograms.mp420.25MB
  3. 08 Data Visualization/051 Regression Plots.mp434.85MB
  4. 08 Data Visualization/048 Kernel Density Estimate Plots.mp461.86MB
  5. 08 Data Visualization/050 Box and Violin Plots.mp418.29MB
  6. 08 Data Visualization/046 Installing Seaborn.mp47.25MB
  7. 08 Data Visualization/052 Heatmaps and Clustered Matrices.mp439.05MB
  8. 14 Appendix D Web Scraping with Python/104 Web Scraping Part 2.mp443.82MB
  9. 14 Appendix D Web Scraping with Python/103 Web Scraping Part 1.mp437.31MB
  10. 07 Working with Data Part 3/042 GroupBy on Dict and Series.mp423.31MB
  11. 07 Working with Data Part 3/045 Cross Tabulation.mp48.83MB
  12. 07 Working with Data Part 3/044 Splitting Applying and Combining.mp422.15MB
  13. 07 Working with Data Part 3/041 GroupBy on DataFrames.mp436.32MB
  14. 07 Working with Data Part 3/043 Aggregation.mp443.79MB
  15. 01 Intro to Course and Python/001 Course Intro.mp411.48MB
  16. 01 Intro to Course and Python/002 Resources for Learning Python.mp43.74MB
  17. 13 Appendix C SQL and Python/100 Introduction to SQL with Python.mp443.76MB
  18. 13 Appendix C SQL and Python/101 SQL - SELECT,DISTINCT,WHERE,AND OR.mp432.34MB
  19. 13 Appendix C SQL and Python/102 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp428.13MB
  20. 09 Example Projects/054 Intro to Data Projects.mp418.67MB
  21. 09 Example Projects/061 Data Project - Stock Market Analysis Part 2.mp456.85MB
  22. 09 Example Projects/063 Data Project - Stock Market Analysis Part 4.mp425.88MB
  23. 09 Example Projects/062 Data Project - Stock Market Analysis Part 3.mp440.01MB
  24. 09 Example Projects/060 Data Project - Stock Market Analysis Part 1.mp432.41MB
  25. 09 Example Projects/064 Data Project - Stock Market Analysis Part 5.mp493.98MB
  26. 09 Example Projects/058 Titanic Project - Part 4.mp45.32MB
  27. 09 Example Projects/066 Data Project - Election Analysis Part 1.mp444.57MB
  28. 09 Example Projects/059 Intro to Data Project - Stock Market Analysis.mp432.77MB
  29. 09 Example Projects/053 Data Projects Preview.mp425.79MB
  30. 09 Example Projects/056 Titanic Project - Part 2.mp438.92MB
  31. 09 Example Projects/068 Data Project - Election Analysis Part 3.mp439.06MB
  32. 09 Example Projects/055 Titanic Project - Part 1.mp443.3MB
  33. 09 Example Projects/065 Data Project - Intro to Election Analysis.mp414.9MB
  34. 09 Example Projects/069 Data Project - Election Analysis Part 4.mp465.74MB
  35. 09 Example Projects/067 Data Project - Election Analysis Part 2.mp456.39MB
  36. 09 Example Projects/057 Titanic Project - Part 3.mp435.08MB
  37. 10 Machine Learning/082 Support Vector Machines - Part 2.mp485.84MB
  38. 10 Machine Learning/075 Logistic Regression Part 1.mp471.8MB
  39. 10 Machine Learning/073 Linear Regression Part 3.mp468.85MB
  40. 10 Machine Learning/084 Naive Bayes Part 2.mp465.48MB
  41. 10 Machine Learning/079 Multi Class Classification Part 1 - Logistic Regression.mp467.85MB
  42. 10 Machine Learning/071 Linear Regression Part 1.mp458.66MB
  43. 10 Machine Learning/072 Linear Regression Part 2.mp452.52MB
  44. 10 Machine Learning/083 Naive Bayes Part 1.mp435.69MB
  45. 10 Machine Learning/076 Logistic Regression Part 2.mp451.81MB
  46. 10 Machine Learning/081 Support Vector Machines Part 1.mp464.93MB
  47. 10 Machine Learning/080 Multi Class Classification Part 2 - k Nearest Neighbor.mp473.53MB
  48. 10 Machine Learning/074 Linear Regression Part 4.mp478.64MB
  49. 10 Machine Learning/078 Logistic Regression Part 4.mp497.94MB
  50. 10 Machine Learning/077 Logistic Regression Part 3.mp439.67MB
  51. 10 Machine Learning/070 Introduction to Machine Learning with SciKit Learn.mp446.17MB
  52. 03 Learning Numpy/006 Creating arrays.mp413.05MB
  53. 03 Learning Numpy/009 Array Transposition.mp47.53MB
  54. 03 Learning Numpy/007 Using arrays and scalars.mp47.93MB
  55. 03 Learning Numpy/008 Indexing Arrays.mp426.16MB
  56. 03 Learning Numpy/012 Array Input and Output.mp413.97MB
  57. 03 Learning Numpy/011 Array Processing.mp441.03MB
  58. 03 Learning Numpy/010 Universal Array Function.mp414.94MB
  59. 11 Appendix A Python Overview/085 Intro to Resources for Learning Python.mp427.02MB
  60. 11 Appendix A Python Overview/086 Python Overview Part 1.mp434.46MB
  61. 11 Appendix A Python Overview/087 Python Overview Part 2.mp421.89MB
  62. 11 Appendix A Python Overview/088 Python Overview Part 3.mp419.92MB
  63. 06 Working with Data Part 2/033 Pivoting.mp417.98MB
  64. 06 Working with Data Part 2/031 Combining DataFrames.mp419.88MB
  65. 06 Working with Data Part 2/036 Replace.mp45.15MB
  66. 06 Working with Data Part 2/039 Outliers.mp416.22MB
  67. 06 Working with Data Part 2/030 Concatenate.mp421.13MB
  68. 06 Working with Data Part 2/037 Rename Index.mp410.09MB
  69. 06 Working with Data Part 2/029 Merge on Index.mp425.22MB
  70. 06 Working with Data Part 2/038 Binning.mp413.02MB
  71. 06 Working with Data Part 2/034 Duplicates in DataFrames.mp411.07MB
  72. 06 Working with Data Part 2/028 Merge.mp436.33MB
  73. 06 Working with Data Part 2/040 Permutation.mp48.74MB
  74. 06 Working with Data Part 2/035 Mapping.mp47.78MB
  75. 06 Working with Data Part 2/032 Reshaping.mp414.4MB
  76. 05 Working with Data Part 1/027 Microsoft Excel files with Python.mp47.62MB
  77. 05 Working with Data Part 1/026 HTML with Python.mp413.46MB
  78. 05 Working with Data Part 1/025 JSON with Python.mp48.98MB
  79. 05 Working with Data Part 1/024 Reading and Writing Text Files.mp424.81MB
  80. 02 Setup/005 Course Environment Overview.mp48.29MB
  81. 02 Setup/004 iPython Notebook Overview.mp48.89MB
  82. 02 Setup/003 Installation Setup and Overview.mp461.97MB
  83. 04 Intro to Pandas/015 Index objects.mp49.23MB
  84. 04 Intro to Pandas/021 Summary Statistics.mp446.09MB
  85. 04 Intro to Pandas/019 Data Alignment.mp417.7MB
  86. 04 Intro to Pandas/017 Drop Entry.mp49.24MB
  87. 04 Intro to Pandas/016 Reindex.mp432.26MB
  88. 04 Intro to Pandas/023 Index Hierarchy.mp424.03MB
  89. 04 Intro to Pandas/020 Rank and Sort.mp49.45MB
  90. 04 Intro to Pandas/022 Missing Data.mp418.93MB
  91. 04 Intro to Pandas/013 Series.mp424.75MB
  92. 04 Intro to Pandas/014 DataFrames.mp452.86MB
  93. 04 Intro to Pandas/018 Selecting Entries.mp418.12MB
  94. 12 Appendix B Statistics Overview/095 Sampling Techniques.mp422MB
  95. 12 Appendix B Statistics Overview/090 Discrete Uniform Distribution.mp421.82MB
  96. 12 Appendix B Statistics Overview/096 T-Distribution.mp416.35MB
  97. 12 Appendix B Statistics Overview/097 Hypothesis Testing and Confidence Intervals.mp478.87MB
  98. 12 Appendix B Statistics Overview/092 Binomial Distribution.mp441.74MB
  99. 12 Appendix B Statistics Overview/089 Intro to Appendix B.mp47.24MB
  100. 12 Appendix B Statistics Overview/098 Chi Square Test and Distribution.mp415.71MB
  101. 12 Appendix B Statistics Overview/099 Bayes Theorem.mp436.76MB
  102. 12 Appendix B Statistics Overview/091 Continuous Uniform Distribution.mp425.22MB
  103. 12 Appendix B Statistics Overview/093 Poisson Distribution.mp440.25MB
  104. 12 Appendix B Statistics Overview/094 Normal Distribution.mp419.42MB
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