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[] Udemy - Learning Python for Data Analysis and Visualization

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  • 文件大小:4GB
  • 下载次数:104
  • 最近下载:2021-01-01 19:27:38
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文件列表

  1. 9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 159MB
  2. 10. Machine Learning/16. Decision Trees and Random Forests.mp4 153MB
  3. 10. Machine Learning/19. Natural Language Processing Part 3.mp4 149MB
  4. 10. Machine Learning/20. Natural Language Processing Part 4.mp4 113MB
  5. 10. Machine Learning/9. Logistic Regression Part 4.mp4 98MB
  6. 9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 94MB
  7. 10. Machine Learning/13. Support Vector Machines - Part 2.mp4 86MB
  8. 11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 79MB
  9. 10. Machine Learning/5. Linear Regression Part 4.mp4 79MB
  10. 10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 74MB
  11. 10. Machine Learning/6. Logistic Regression Part 1.mp4 72MB
  12. 2. Setup/3. iPythonJupyter Notebook Overview.mp4 69MB
  13. 10. Machine Learning/4. Linear Regression Part 3.mp4 69MB
  14. 10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 68MB
  15. 10. Machine Learning/15. Naive Bayes Part 2.mp4 65MB
  16. 10. Machine Learning/12. Support Vector Machines Part 1.mp4 65MB
  17. 10. Machine Learning/17. Natural Language Processing Part 1.mp4 63MB
  18. 8. Data Visualization/3. Kernel Density Estimate Plots.mp4 62MB
  19. 10. Machine Learning/18. Natural Language Processing Part 2.mp4 60MB
  20. 10. Machine Learning/2. Linear Regression Part 1.mp4 59MB
  21. 9. Example Projects/9. Data Project - Stock Market Analysis Part 2.mp4 57MB
  22. 9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 56MB
  23. 4. Intro to Pandas/2. DataFrames.mp4 53MB
  24. 10. Machine Learning/3. Linear Regression Part 2.mp4 53MB
  25. 10. Machine Learning/7. Logistic Regression Part 2.mp4 52MB
  26. 10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.mp4 46MB
  27. 4. Intro to Pandas/9. Summary Statistics.mp4 46MB
  28. 9. Example Projects/14. Data Project - Election Analysis Part 1.mp4 45MB
  29. 13. Appendix Web Scraping with Python/2. Web Scraping Part 2.mp4 44MB
  30. 7. Working with Data Part 3/3. Aggregation.mp4 44MB
  31. 12. Appendix SQL and Python/1. Introduction to SQL with Python.mp4 44MB
  32. 9. Example Projects/3. Titanic Project - Part 1.mp4 43MB
  33. 11. Appendix Statistics Overview/4. Binomial Distribution.mp4 42MB
  34. 3. Learning Numpy/7. Array Processing.mp4 41MB
  35. 11. Appendix Statistics Overview/5. Poisson Distribution.mp4 40MB
  36. 9. Example Projects/10. Data Project - Stock Market Analysis Part 3.mp4 40MB
  37. 10. Machine Learning/8. Logistic Regression Part 3.mp4 40MB
  38. 9. Example Projects/16. Data Project - Election Analysis Part 3.mp4 39MB
  39. 8. Data Visualization/7. Heatmaps and Clustered Matrices.mp4 39MB
  40. 9. Example Projects/4. Titanic Project - Part 2.mp4 39MB
  41. 13. Appendix Web Scraping with Python/1. Web Scraping Part 1.mp4 37MB
  42. 9. Example Projects/1. Data Projects Preview.mp4 37MB
  43. 11. Appendix Statistics Overview/11. Bayes Theorem.mp4 37MB
  44. 6. Working with Data Part 2/1. Merge.mp4 36MB
  45. 7. Working with Data Part 3/1. GroupBy on DataFrames.mp4 36MB
  46. 10. Machine Learning/14. Naive Bayes Part 1.mp4 36MB
  47. 9. Example Projects/5. Titanic Project - Part 3.mp4 35MB
  48. 8. Data Visualization/6. Regression Plots.mp4 35MB
  49. 14. Appendix Python Special Offers/1. Python Overview Part 1.mp4 34MB
  50. 9. Example Projects/7. Intro to Data Project - Stock Market Analysis.mp4 33MB
  51. 9. Example Projects/8. Data Project - Stock Market Analysis Part 1.mp4 32MB
  52. 12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4 32MB
  53. 4. Intro to Pandas/4. Reindex.mp4 32MB
  54. 2. Setup/2. IDEs and Course Resources.mp4 30MB
  55. 12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 28MB
  56. 3. Learning Numpy/4. Indexing Arrays.mp4 26MB
  57. 9. Example Projects/11. Data Project - Stock Market Analysis Part 4.mp4 26MB
  58. 6. Working with Data Part 2/2. Merge on Index.mp4 25MB
  59. 11. Appendix Statistics Overview/3. Continuous Uniform Distribution.mp4 25MB
  60. 5. Working with Data Part 1/1. Reading and Writing Text Files.mp4 25MB
  61. 4. Intro to Pandas/1. Series.mp4 25MB
  62. 2. Setup/1. Installation Setup and Overview.mp4 24MB
  63. 9. Example Projects/13. Data Project - Intro to Election Analysis.mp4 24MB
  64. 4. Intro to Pandas/11. Index Hierarchy.mp4 24MB
  65. 7. Working with Data Part 3/2. GroupBy on Dict and Series.mp4 23MB
  66. 7. Working with Data Part 3/4. Splitting Applying and Combining.mp4 22MB
  67. 11. Appendix Statistics Overview/7. Sampling Techniques.mp4 22MB
  68. 14. Appendix Python Special Offers/2. Python Overview Part 2.mp4 22MB
  69. 11. Appendix Statistics Overview/2. Discrete Uniform Distribution.mp4 22MB
  70. 6. Working with Data Part 2/3. Concatenate.mp4 21MB
  71. 8. Data Visualization/2. Histograms.mp4 20MB
  72. 14. Appendix Python Special Offers/3. Python Overview Part 3.mp4 20MB
  73. 6. Working with Data Part 2/4. Combining DataFrames.mp4 20MB
  74. 11. Appendix Statistics Overview/6. Normal Distribution.mp4 19MB
  75. 4. Intro to Pandas/10. Missing Data.mp4 19MB
  76. 9. Example Projects/2. Intro to Data Projects.mp4 19MB
  77. 8. Data Visualization/5. Box and Violin Plots.mp4 18MB
  78. 4. Intro to Pandas/6. Selecting Entries.mp4 18MB
  79. 6. Working with Data Part 2/6. Pivoting.mp4 18MB
  80. 4. Intro to Pandas/7. Data Alignment.mp4 18MB
  81. 11. Appendix Statistics Overview/8. T-Distribution.mp4 16MB
  82. 6. Working with Data Part 2/12. Outliers.mp4 16MB
  83. 11. Appendix Statistics Overview/10. Chi Square Test and Distribution.mp4 16MB
  84. 3. Learning Numpy/6. Universal Array Function.mp4 15MB
  85. 6. Working with Data Part 2/5. Reshaping.mp4 14MB
  86. 3. Learning Numpy/8. Array Input and Output.mp4 14MB
  87. 5. Working with Data Part 1/3. HTML with Python.mp4 13MB
  88. 1. Intro to Course and Python/1. Course Intro.mp4 13MB
  89. 3. Learning Numpy/2. Creating arrays.mp4 13MB
  90. 6. Working with Data Part 2/11. Binning.mp4 13MB
  91. 8. Data Visualization/4. Combining Plot Styles.mp4 12MB
  92. 6. Working with Data Part 2/7. Duplicates in DataFrames.mp4 11MB
  93. 6. Working with Data Part 2/10. Rename Index.mp4 10MB
  94. 4. Intro to Pandas/8. Rank and Sort.mp4 9MB
  95. 4. Intro to Pandas/5. Drop Entry.mp4 9MB
  96. 4. Intro to Pandas/3. Index objects.mp4 9MB
  97. 5. Working with Data Part 1/2. JSON with Python.mp4 9MB
  98. 7. Working with Data Part 3/5. Cross Tabulation.mp4 9MB
  99. 6. Working with Data Part 2/13. Permutation.mp4 9MB
  100. 3. Learning Numpy/3. Using arrays and scalars.mp4 8MB
  101. 6. Working with Data Part 2/8. Mapping.mp4 8MB
  102. 5. Working with Data Part 1/4. Microsoft Excel files with Python.mp4 8MB
  103. 3. Learning Numpy/5. Array Transposition.mp4 8MB
  104. 8. Data Visualization/1. Installing Seaborn.mp4 7MB
  105. 11. Appendix Statistics Overview/1. Intro to Appendix B.mp4 7MB
  106. 9. Example Projects/6. Titanic Project - Part 4.mp4 5MB
  107. 6. Working with Data Part 2/9. Replace.mp4 5MB
  108. 10. Machine Learning/16. Decision Trees and Random Forests.srt 43KB
  109. 9. Example Projects/12. Data Project - Stock Market Analysis Part 5.srt 37KB
  110. 10. Machine Learning/13. Support Vector Machines - Part 2.srt 35KB
  111. 8. Data Visualization/3. Kernel Density Estimate Plots.srt 34KB
  112. 10. Machine Learning/5. Linear Regression Part 4.srt 32KB
  113. 9. Example Projects/17. Data Project - Election Analysis Part 4.srt 30KB
  114. 4. Intro to Pandas/9. Summary Statistics.srt 29KB
  115. 10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.srt 29KB
  116. 10. Machine Learning/19. Natural Language Processing Part 3.srt 29KB
  117. 11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.srt 28KB
  118. 9. Example Projects/15. Data Project - Election Analysis Part 2.srt 28KB
  119. 10. Machine Learning/9. Logistic Regression Part 4.srt 28KB
  120. 10. Machine Learning/4. Linear Regression Part 3.srt 26KB
  121. 10. Machine Learning/3. Linear Regression Part 2.srt 26KB
  122. 10. Machine Learning/2. Linear Regression Part 1.srt 26KB
  123. 9. Example Projects/9. Data Project - Stock Market Analysis Part 2.srt 25KB
  124. 8. Data Visualization/6. Regression Plots.srt 25KB
  125. 14. Appendix Python Special Offers/1. Python Overview Part 1.srt 25KB
  126. 3. Learning Numpy/7. Array Processing.srt 24KB
  127. 9. Example Projects/14. Data Project - Election Analysis Part 1.srt 24KB
  128. 10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.srt 24KB
  129. 9. Example Projects/3. Titanic Project - Part 1.srt 24KB
  130. 6. Working with Data Part 2/1. Merge.srt 23KB
  131. 2. Setup/3. iPythonJupyter Notebook Overview.srt 23KB
  132. 7. Working with Data Part 3/1. GroupBy on DataFrames.srt 22KB
  133. 8. Data Visualization/7. Heatmaps and Clustered Matrices.srt 22KB
  134. 4. Intro to Pandas/2. DataFrames.srt 22KB
  135. 10. Machine Learning/18. Natural Language Processing Part 2.srt 22KB
  136. 9. Example Projects/16. Data Project - Election Analysis Part 3.srt 21KB
  137. 10. Machine Learning/20. Natural Language Processing Part 4.srt 21KB
  138. 9. Example Projects/4. Titanic Project - Part 2.srt 20KB
  139. 10. Machine Learning/6. Logistic Regression Part 1.srt 20KB
  140. 10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.srt 20KB
  141. 11. Appendix Statistics Overview/4. Binomial Distribution.srt 19KB
  142. 10. Machine Learning/7. Logistic Regression Part 2.srt 19KB
  143. 10. Machine Learning/12. Support Vector Machines Part 1.srt 19KB
  144. 9. Example Projects/5. Titanic Project - Part 3.srt 19KB
  145. 3. Learning Numpy/4. Indexing Arrays.srt 19KB
  146. 4. Intro to Pandas/4. Reindex.srt 18KB
  147. 7. Working with Data Part 3/3. Aggregation.srt 18KB
  148. 13. Appendix Web Scraping with Python/1. Web Scraping Part 1.srt 18KB
  149. 4. Intro to Pandas/11. Index Hierarchy.srt 18KB
  150. 9. Example Projects/8. Data Project - Stock Market Analysis Part 1.srt 17KB
  151. 11. Appendix Statistics Overview/5. Poisson Distribution.srt 17KB
  152. 10. Machine Learning/15. Naive Bayes Part 2.srt 17KB
  153. 4. Intro to Pandas/1. Series.srt 17KB
  154. 12. Appendix SQL and Python/1. Introduction to SQL with Python.srt 16KB
  155. 14. Appendix Python Special Offers/2. Python Overview Part 2.srt 16KB
  156. 2. Setup/2. IDEs and Course Resources.srt 16KB
  157. 13. Appendix Web Scraping with Python/2. Web Scraping Part 2.srt 16KB
  158. 7. Working with Data Part 3/2. GroupBy on Dict and Series.srt 15KB
  159. 12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt 15KB
  160. 9. Example Projects/10. Data Project - Stock Market Analysis Part 3.srt 15KB
  161. 10. Machine Learning/8. Logistic Regression Part 3.srt 15KB
  162. 6. Working with Data Part 2/2. Merge on Index.srt 15KB
  163. 4. Intro to Pandas/10. Missing Data.srt 14KB
  164. 11. Appendix Statistics Overview/11. Bayes Theorem.srt 14KB
  165. 14. Appendix Python Special Offers/3. Python Overview Part 3.srt 14KB
  166. 10. Machine Learning/14. Naive Bayes Part 1.srt 14KB
  167. 5. Working with Data Part 1/1. Reading and Writing Text Files.srt 13KB
  168. 12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt 13KB
  169. 6. Working with Data Part 2/4. Combining DataFrames.srt 13KB
  170. 8. Data Visualization/2. Histograms.srt 13KB
  171. 6. Working with Data Part 2/3. Concatenate.srt 13KB
  172. 4. Intro to Pandas/7. Data Alignment.srt 12KB
  173. 7. Working with Data Part 3/4. Splitting Applying and Combining.srt 12KB
  174. 4. Intro to Pandas/6. Selecting Entries.srt 12KB
  175. 8. Data Visualization/5. Box and Violin Plots.srt 11KB
  176. 10. Machine Learning/17. Natural Language Processing Part 1.srt 11KB
  177. 11. Appendix Statistics Overview/3. Continuous Uniform Distribution.srt 11KB
  178. 2. Setup/1. Installation Setup and Overview.srt 10KB
  179. 11. Appendix Statistics Overview/2. Discrete Uniform Distribution.srt 10KB
  180. 9. Example Projects/11. Data Project - Stock Market Analysis Part 4.srt 10KB
  181. 3. Learning Numpy/2. Creating arrays.srt 10KB
  182. 3. Learning Numpy/8. Array Input and Output.srt 10KB
  183. 11. Appendix Statistics Overview/6. Normal Distribution.srt 9KB
  184. 6. Working with Data Part 2/5. Reshaping.srt 9KB
  185. 6. Working with Data Part 2/6. Pivoting.srt 8KB
  186. 8. Data Visualization/4. Combining Plot Styles.srt 8KB
  187. 6. Working with Data Part 2/12. Outliers.srt 8KB
  188. 6. Working with Data Part 2/11. Binning.srt 8KB
  189. 11. Appendix Statistics Overview/8. T-Distribution.srt 8KB
  190. 6. Working with Data Part 2/7. Duplicates in DataFrames.srt 8KB
  191. 11. Appendix Statistics Overview/7. Sampling Techniques.srt 8KB
  192. 3. Learning Numpy/6. Universal Array Function.srt 8KB
  193. 4. Intro to Pandas/8. Rank and Sort.srt 7KB
  194. 9. Example Projects/2. Intro to Data Projects.srt 7KB
  195. 6. Working with Data Part 2/10. Rename Index.srt 7KB
  196. 1. Intro to Course and Python/2. Course FAQs.html 7KB
  197. 4. Intro to Pandas/5. Drop Entry.srt 7KB
  198. 7. Working with Data Part 3/5. Cross Tabulation.srt 7KB
  199. 6. Working with Data Part 2/13. Permutation.srt 7KB
  200. 3. Learning Numpy/3. Using arrays and scalars.srt 7KB
  201. 4. Intro to Pandas/3. Index objects.srt 6KB
  202. 1. Intro to Course and Python/1. Course Intro.srt 6KB
  203. 5. Working with Data Part 1/2. JSON with Python.srt 6KB
  204. 5. Working with Data Part 1/3. HTML with Python.srt 6KB
  205. 5. Working with Data Part 1/4. Microsoft Excel files with Python.srt 5KB
  206. 9. Example Projects/1. Data Projects Preview.srt 5KB
  207. 9. Example Projects/7. Intro to Data Project - Stock Market Analysis.srt 5KB
  208. 6. Working with Data Part 2/8. Mapping.srt 5KB
  209. 3. Learning Numpy/5. Array Transposition.srt 5KB
  210. 11. Appendix Statistics Overview/1. Intro to Appendix B.srt 5KB
  211. 6. Working with Data Part 2/9. Replace.srt 4KB
  212. 11. Appendix Statistics Overview/10. Chi Square Test and Distribution.srt 4KB
  213. 9. Example Projects/6. Titanic Project - Part 4.srt 4KB
  214. 9. Example Projects/13. Data Project - Intro to Election Analysis.srt 4KB
  215. 8. Data Visualization/1. Installing Seaborn.srt 3KB
  216. Read Me.txt 1KB
  217. 3. Learning Numpy/1. Intro to numpy.html 917B
  218. 15. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532B
  219. 9. Example Projects/2.1 First Data Project.txt 306B
  220. 9. Example Projects/3.1 First Data Project.txt 306B
  221. 2. Setup/3.2 Lecture 4 Info.txt 180B
  222. 2. Setup/1.1 Link for FAQ.html 149B
  223. 2. Setup/1.2 Link to Code Notebooks for Course!.html 131B
  224. 2. Setup/2.1 Link to Code Notebooks for Course!.html 131B
  225. 2. Setup/3.1 Link to Code Notebooks for Course!.html 131B
  226. 11. Appendix Statistics Overview/1.1 Viewer Link For Stats Notes.txt 121B
  227. [FreeAllCourse.Com].url 52B