589689.xyz

[] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 收录时间:2019-07-02 21:33:48
  • 文件大小:4GB
  • 下载次数:135
  • 最近下载:2021-01-23 13:39:37
  • 磁力链接:

文件列表

  1. 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 157MB
  2. 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 95MB
  3. 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 94MB
  4. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 69MB
  5. 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 63MB
  6. 25. Big Data and Spark with Python/9. PySpark Setup.mp4 60MB
  7. 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 58MB
  8. 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 56MB
  9. 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 53MB
  10. 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 53MB
  11. 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 53MB
  12. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 51MB
  13. 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 51MB
  14. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 50MB
  15. 24. Natural Language Processing/6. NLP Project Solutions.mp4 48MB
  16. 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 47MB
  17. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 47MB
  18. 21. K Means Clustering/4. K Means Project Solutions.mp4 47MB
  19. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp4 46MB
  20. 18. K Nearest Neighbors/2. KNN with Python.mp4 46MB
  21. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp4 46MB
  22. 15. Linear Regression/6. Linear Regression Project Solution.mp4 45MB
  23. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/4. MNIST with Multi-Layer Perceptron - Part 3.mp4 44MB
  24. 15. Linear Regression/3. Linear Regression with Python - Part 1.mp4 43MB
  25. 22. Principal Component Analysis/2. PCA with Python.mp4 43MB
  26. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp4 43MB
  27. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp4 43MB
  28. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp4 42MB
  29. 24. Natural Language Processing/3. NLP with Python - Part 2.mp4 42MB
  30. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp4 41MB
  31. 24. Natural Language Processing/2. NLP with Python - Part 1.mp4 40MB
  32. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp4 40MB
  33. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp4 40MB
  34. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp4 40MB
  35. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp4 39MB
  36. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp4 38MB
  37. 24. Natural Language Processing/4. NLP with Python - Part 3.mp4 38MB
  38. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/7. Tensorflow Project Exercise - Solutions.mp4 38MB
  39. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp4 37MB
  40. 6. Python for Data Analysis - Pandas/11. Data Input and Output.mp4 37MB
  41. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/3. MNIST with Multi-Layer Perceptron - Part 2.mp4 37MB
  42. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp4 36MB
  43. 4. Python Crash Course/3. Python Crash Course - Part 1.mp4 36MB
  44. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp4 36MB
  45. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp4 34MB
  46. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp4 34MB
  47. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp4 33MB
  48. 3. Jupyter Overview/2. Jupyter Notebooks.mp4 32MB
  49. 4. Python Crash Course/5. Python Crash Course - Part 3.mp4 32MB
  50. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp4 32MB
  51. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp4 31MB
  52. 26. Neural Nets and Deep Learning/5. TensorFlow Basics.mp4 31MB
  53. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp4 31MB
  54. 17. Logistic Regression/6. Logistic Regression Project Solutions.mp4 30MB
  55. 21. K Means Clustering/2. K Means with Python.mp4 30MB
  56. 4. Python Crash Course/6. Python Crash Course - Part 4.mp4 29MB
  57. 1. Course Introduction/1. Introduction to the Course.mp4 29MB
  58. 14. Introduction to Machine Learning/3. Introduction to Machine Learning.mp4 29MB
  59. 4. Python Crash Course/4. Python Crash Course - Part 2.mp4 29MB
  60. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp4 29MB
  61. 26. Neural Nets and Deep Learning/9. Deep Learning Project.mp4 28MB
  62. 20. Support Vector Machines/4. SVM Project Solutions.mp4 28MB
  63. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp4 28MB
  64. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp4 28MB
  65. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp4 27MB
  66. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp4 27MB
  67. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp4 27MB
  68. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp4 26MB
  69. 5. Python for Data Analysis - NumPy/6. Numpy Operations.mp4 25MB
  70. 26. Neural Nets and Deep Learning/3. What is TensorFlow.mp4 25MB
  71. 6. Python for Data Analysis - Pandas/10. Operations.mp4 24MB
  72. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp4 22MB
  73. 2. Environment Set-Up/1. Environment Set-up and Installation.mp4 22MB
  74. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/2. MNIST with Multi-Layer Perceptron - Part 1.mp4 22MB
  75. 17. Logistic Regression/1. Logistic Regression Theory.mp4 21MB
  76. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp4 21MB
  77. 6. Python for Data Analysis - Pandas/3. Series.mp4 20MB
  78. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp4 20MB
  79. 9. Python for Data Visualization - Seaborn/5. Grids.mp4 20MB
  80. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/5. TensorFlow with ContribLearn.mp4 20MB
  81. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp4 19MB
  82. 9. Python for Data Visualization - Seaborn/7. Style and Color.mp4 19MB
  83. 3. Jupyter Overview/3. Optional Virtual Environments.mp4 19MB
  84. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp4 17MB
  85. 14. Introduction to Machine Learning/4. Machine Learning with Python.mp4 17MB
  86. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp4 17MB
  87. 15. Linear Regression/4. Linear Regression with Python - Part 2.mp4 16MB
  88. 25. Big Data and Spark with Python/11. Introduction to Spark and Python.mp4 16MB
  89. 25. Big Data and Spark with Python/3. Spark Overview.mp4 16MB
  90. 9. Python for Data Visualization - Seaborn/6. Regression Plots.mp4 15MB
  91. 6. Python for Data Analysis - Pandas/8. Groupby.mp4 15MB
  92. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp4 13MB
  93. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp4 13MB
  94. 26. Neural Nets and Deep Learning/2. Neural Network Theory.mp4 12MB
  95. 13. Data Capstone Project/6. Finance Data Project Overview.mp4 12MB
  96. 6. Python for Data Analysis - Pandas/7. Missing Data.mp4 12MB
  97. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp4 12MB
  98. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp4 12MB
  99. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp4 12MB
  100. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp4 11MB
  101. 25. Big Data and Spark with Python/5. AWS Account Set-Up.mp4 11MB
  102. 15. Linear Regression/5. Linear Regression Project Overview.mp4 11MB
  103. 25. Big Data and Spark with Python/2. Big Data Overview.mp4 10MB
  104. 18. K Nearest Neighbors/1. KNN Theory.mp4 10MB
  105. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp4 10MB
  106. 21. K Means Clustering/1. K Means Algorithm Theory.mp4 10MB
  107. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp4 9MB
  108. 25. Big Data and Spark with Python/10. Lambda Expressions Review.mp4 9MB
  109. 21. K Means Clustering/3. K Means Project Overview.mp4 9MB
  110. 25. Big Data and Spark with Python/8. SSH with Mac or Linux.mp4 9MB
  111. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp4 9MB
  112. 24. Natural Language Processing/1. Natural Language Processing Theory.mp4 9MB
  113. 20. Support Vector Machines/1. SVM Theory.mp4 9MB
  114. 20. Support Vector Machines/3. SVM Project Overview.mp4 9MB
  115. 13. Data Capstone Project/2. 911 Calls Project Overview.mp4 9MB
  116. 15. Linear Regression/1. Linear Regression Theory.mp4 9MB
  117. 1. Course Introduction/2. Course Help and Welcome.mp4 8MB
  118. 23. Recommender Systems/1. Recommender Systems.mp4 8MB
  119. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp4 7MB
  120. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/6. Tensorflow Project Exercise Overview.mp4 7MB
  121. 26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.mp4 7MB
  122. 14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.mp4 7MB
  123. 7. Python for Data Analysis - Pandas Exercises/1. SF Salaries Exercise Overview.mp4 7MB
  124. 24. Natural Language Processing/5. NLP Project Overview.mp4 7MB
  125. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp4 7MB
  126. 22. Principal Component Analysis/1. Principal Component Analysis.mp4 6MB
  127. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp4 6MB
  128. 17. Logistic Regression/5. Logistic Regression Project Overview.mp4 5MB
  129. 25. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp4 5MB
  130. 8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp4 5MB
  131. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp4 5MB
  132. 18. K Nearest Neighbors/3. KNN Project Overview.mp4 5MB
  133. 26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.mp4 5MB
  134. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp4 4MB
  135. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp4 4MB
  136. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp4 4MB
  137. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp4 3MB
  138. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp4 3MB
  139. 14. Introduction to Machine Learning/2.2 Python DS Presentations.zip.zip 3MB
  140. 4. Python Crash Course/2. Introduction to Python Crash Course.mp4 3MB
  141. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp4 2MB
  142. 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp4 2MB
  143. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.vtt 34KB
  144. 25. Big Data and Spark with Python/9. PySpark Setup.vtt 32KB
  145. 25. Big Data and Spark with Python/12. RDD Transformations and Actions.vtt 29KB
  146. 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.vtt 27KB
  147. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.vtt 25KB
  148. 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.vtt 25KB
  149. 4. Python Crash Course/3. Python Crash Course - Part 1.vtt 24KB
  150. 24. Natural Language Processing/6. NLP Project Solutions.vtt 24KB
  151. 18. K Nearest Neighbors/2. KNN with Python.vtt 24KB
  152. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.vtt 24KB
  153. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.vtt 23KB
  154. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.vtt 23KB
  155. 15. Linear Regression/6. Linear Regression Project Solution.vtt 23KB
  156. 15. Linear Regression/3. Linear Regression with Python - Part 1.vtt 23KB
  157. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/4. MNIST with Multi-Layer Perceptron - Part 3.vtt 23KB
  158. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.vtt 23KB
  159. 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.vtt 23KB
  160. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.vtt 23KB
  161. 24. Natural Language Processing/3. NLP with Python - Part 2.vtt 23KB
  162. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.vtt 22KB
  163. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.vtt 22KB
  164. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.vtt 22KB
  165. 20. Support Vector Machines/2. Support Vector Machines with Python.vtt 22KB
  166. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.vtt 22KB
  167. 24. Natural Language Processing/4. NLP with Python - Part 3.vtt 21KB
  168. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.vtt 21KB
  169. 22. Principal Component Analysis/2. PCA with Python.vtt 21KB
  170. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.vtt 21KB
  171. 4. Python Crash Course/5. Python Crash Course - Part 3.vtt 21KB
  172. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.vtt 20KB
  173. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/3. MNIST with Multi-Layer Perceptron - Part 2.vtt 20KB
  174. 21. K Means Clustering/4. K Means Project Solutions.vtt 20KB
  175. 3. Jupyter Overview/2. Jupyter Notebooks.vtt 20KB
  176. 4. Python Crash Course/4. Python Crash Course - Part 2.vtt 20KB
  177. 24. Natural Language Processing/2. NLP with Python - Part 1.vtt 20KB
  178. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.vtt 19KB
  179. 26. Neural Nets and Deep Learning/5. TensorFlow Basics.vtt 19KB
  180. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.vtt 19KB
  181. 26. Neural Nets and Deep Learning/7. MNIST - Part Two.vtt 19KB
  182. 4. Python Crash Course/6. Python Crash Course - Part 4.vtt 19KB
  183. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.vtt 19KB
  184. 6. Python for Data Analysis - Pandas/11. Data Input and Output.vtt 19KB
  185. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.vtt 19KB
  186. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.vtt 19KB
  187. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.vtt 18KB
  188. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/7. Tensorflow Project Exercise - Solutions.vtt 18KB
  189. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.vtt 18KB
  190. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.vtt 17KB
  191. 18. K Nearest Neighbors/4. KNN Project Solutions.vtt 17KB
  192. 6. Python for Data Analysis - Pandas/10. Operations.vtt 16KB
  193. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.vtt 16KB
  194. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/2. MNIST with Multi-Layer Perceptron - Part 1.vtt 16KB
  195. 21. K Means Clustering/2. K Means with Python.vtt 16KB
  196. 17. Logistic Regression/1. Logistic Regression Theory.vtt 15KB
  197. 14. Introduction to Machine Learning/3. Introduction to Machine Learning.vtt 15KB
  198. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.vtt 15KB
  199. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.vtt 15KB
  200. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.vtt 15KB
  201. 6. Python for Data Analysis - Pandas/3. Series.vtt 14KB
  202. 3. Jupyter Overview/3. Optional Virtual Environments.vtt 14KB
  203. 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.vtt 13KB
  204. 2. Environment Set-Up/1. Environment Set-up and Installation.vtt 13KB
  205. 17. Logistic Regression/6. Logistic Regression Project Solutions.vtt 13KB
  206. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.vtt 13KB
  207. 14. Introduction to Machine Learning/4. Machine Learning with Python.vtt 13KB
  208. 26. Neural Nets and Deep Learning/6. MNIST - Part One.vtt 12KB
  209. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.vtt 12KB
  210. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.vtt 12KB
  211. 25. Big Data and Spark with Python/3. Spark Overview.vtt 12KB
  212. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.vtt 12KB
  213. 20. Support Vector Machines/4. SVM Project Solutions.vtt 12KB
  214. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/5. TensorFlow with ContribLearn.vtt 12KB
  215. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.vtt 11KB
  216. 9. Python for Data Visualization - Seaborn/5. Grids.vtt 11KB
  217. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.vtt 11KB
  218. 9. Python for Data Visualization - Seaborn/7. Style and Color.vtt 11KB
  219. 25. Big Data and Spark with Python/11. Introduction to Spark and Python.vtt 11KB
  220. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.vtt 11KB
  221. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.vtt 11KB
  222. 5. Python for Data Analysis - NumPy/6. Numpy Operations.vtt 10KB
  223. 9. Python for Data Visualization - Seaborn/6. Regression Plots.vtt 9KB
  224. 15. Linear Regression/4. Linear Regression with Python - Part 2.vtt 9KB
  225. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.vtt 9KB
  226. 26. Neural Nets and Deep Learning/2. Neural Network Theory.vtt 9KB
  227. 6. Python for Data Analysis - Pandas/8. Groupby.vtt 9KB
  228. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.vtt 9KB
  229. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.vtt 9KB
  230. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.vtt 8KB
  231. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.vtt 8KB
  232. 26. Neural Nets and Deep Learning/3. What is TensorFlow.vtt 8KB
  233. 6. Python for Data Analysis - Pandas/7. Missing Data.vtt 8KB
  234. 18. K Nearest Neighbors/1. KNN Theory.vtt 7KB
  235. 25. Big Data and Spark with Python/8. SSH with Mac or Linux.vtt 7KB
  236. 25. Big Data and Spark with Python/2. Big Data Overview.vtt 7KB
  237. 25. Big Data and Spark with Python/10. Lambda Expressions Review.vtt 7KB
  238. 21. K Means Clustering/1. K Means Algorithm Theory.vtt 7KB
  239. 24. Natural Language Processing/1. Natural Language Processing Theory.vtt 6KB
  240. 25. Big Data and Spark with Python/5. AWS Account Set-Up.vtt 6KB
  241. 23. Recommender Systems/1. Recommender Systems.vtt 6KB
  242. 15. Linear Regression/1. Linear Regression Theory.vtt 6KB
  243. 20. Support Vector Machines/1. SVM Theory.vtt 6KB
  244. 1. Course Introduction/1. Introduction to the Course.vtt 5KB
  245. 1. Course Introduction/3. Course FAQs.html 5KB
  246. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.vtt 5KB
  247. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.vtt 5KB
  248. 26. Neural Nets and Deep Learning/9. Deep Learning Project.vtt 5KB
  249. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.vtt 5KB
  250. 13. Data Capstone Project/6. Finance Data Project Overview.vtt 5KB
  251. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.vtt 5KB
  252. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.vtt 4KB
  253. 22. Principal Component Analysis/1. Principal Component Analysis.vtt 4KB
  254. 21. K Means Clustering/3. K Means Project Overview.vtt 4KB
  255. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.vtt 4KB
  256. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.vtt 4KB
  257. 15. Linear Regression/5. Linear Regression Project Overview.vtt 4KB
  258. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/6. Tensorflow Project Exercise Overview.vtt 3KB
  259. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.vtt 3KB
  260. 20. Support Vector Machines/3. SVM Project Overview.vtt 3KB
  261. 13. Data Capstone Project/2. 911 Calls Project Overview.vtt 3KB
  262. 24. Natural Language Processing/5. NLP Project Overview.vtt 3KB
  263. 28. BONUS DISCOUNT COUPONS FOR OTHER COURSES/1. Bonus Lecture Coupons.html 3KB
  264. 7. Python for Data Analysis - Pandas Exercises/1. SF Salaries Exercise Overview.vtt 3KB
  265. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.vtt 3KB
  266. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.vtt 3KB
  267. 26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.vtt 3KB
  268. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.vtt 2KB
  269. 17. Logistic Regression/5. Logistic Regression Project Overview.vtt 2KB
  270. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.vtt 2KB
  271. 4. Python Crash Course/2. Introduction to Python Crash Course.vtt 2KB
  272. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.vtt 2KB
  273. 18. K Nearest Neighbors/3. KNN Project Overview.vtt 2KB
  274. 25. Big Data and Spark with Python/4. Local Spark Set-Up.html 2KB
  275. 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.vtt 1KB
  276. 1. Course Introduction/2. Course Help and Welcome.vtt 1KB
  277. 5. Python for Data Analysis - NumPy/4. Quick Note on Array Indexing.html 1KB
  278. 14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.vtt 909B
  279. 15. Linear Regression/2. model_selection Updates for SciKit Learn 0.18.html 845B
  280. 8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.vtt 686B
  281. 25. Big Data and Spark with Python/1. Welcome to the Big Data Section!.vtt 678B
  282. 26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.vtt 647B
  283. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.vtt 562B
  284. 7. Python for Data Analysis - Pandas Exercises/2. Note on SF Salary Exercise.html 559B
  285. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.vtt 511B
  286. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.vtt 427B
  287. 14. Introduction to Machine Learning/2. Link for ISLR.html 406B
  288. 25. Big Data and Spark with Python/6. Quick Note on AWS Security.html 392B
  289. 13. Data Capstone Project/5. Bank Data.html 363B
  290. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.vtt 316B
  291. 3. Jupyter Overview/1. Updates to Notebook Zip.html 197B
  292. 25. Big Data and Spark with Python/9.1 Step by Step Guide for PySpark Set-up.html 158B
  293. 25. Big Data and Spark with Python/5.1 Amazon Guide to Creating an AWS Account.html 146B
  294. 25. Big Data and Spark with Python/8.1 Amazon Guide to SSH with Mac.html 140B
  295. [FreeCourseLab.com].url 126B
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