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Python for Data Science and Machine Learning Bootcamp

  • 收录时间:2020-02-12 18:10:07
  • 文件大小:5GB
  • 下载次数:52
  • 最近下载:2021-01-07 08:48:47
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文件列表

  1. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.srt 200MB
  2. 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 157MB
  3. 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 95MB
  4. 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 94MB
  5. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 92MB
  6. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/4. MNIST with Multi-Layer Perceptron - Part 3.srt 91MB
  7. 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 87MB
  8. 2. Environment Set-Up/1. Python Environment Setup.mp4 76MB
  9. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.srt 73MB
  10. 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 71MB
  11. 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 71MB
  12. 25. Big Data and Spark with Python/9. PySpark Setup.mp4 71MB
  13. 26. Neural Nets and Deep Learning/6. MNIST - Part One.srt 68MB
  14. 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 63MB
  15. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 62MB
  16. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 60MB
  17. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 59MB
  18. 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 58MB
  19. 24. Natural Language Processing/6. NLP Project Solutions.srt 58MB
  20. 24. Natural Language Processing/6. NLP Project Solutions.mp4 58MB
  21. 21. K Means Clustering/4. K Means Project Solutions.mp4 57MB
  22. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/4. MNIST with Multi-Layer Perceptron - Part 3.mp4 57MB
  23. 15. Linear Regression/6. Linear Regression Project Solution.mp4 56MB
  24. 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 56MB
  25. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp4 56MB
  26. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp4 55MB
  27. 18. K Nearest Neighbors/2. KNN with Python.mp4 55MB
  28. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/7. Tensorflow Project Exercise - Solutions.mp4 53MB
  29. 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 52MB
  30. 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 52MB
  31. 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 52MB
  32. 15. Linear Regression/3. Linear Regression with Python - Part 1.mp4 52MB
  33. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp4 52MB
  34. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp4 52MB
  35. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp4 50MB
  36. 22. Principal Component Analysis/2. PCA with Python.mp4 50MB
  37. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp4 49MB
  38. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.srt 49MB
  39. 24. Natural Language Processing/3. NLP with Python - Part 2.srt 49MB
  40. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp4 49MB
  41. 24. Natural Language Processing/3. NLP with Python - Part 2.mp4 49MB
  42. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp4 49MB
  43. 24. Natural Language Processing/2. NLP with Python - Part 1.mp4 47MB
  44. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp4 46MB
  45. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp4 46MB
  46. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/3. MNIST with Multi-Layer Perceptron - Part 2.mp4 45MB
  47. 6. Python for Data Analysis - Pandas/11. Data Input and Output.srt 45MB
  48. 6. Python for Data Analysis - Pandas/11. Data Input and Output.mp4 45MB
  49. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp4 44MB
  50. 24. Natural Language Processing/4. NLP with Python - Part 3.mp4 43MB
  51. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp4 43MB
  52. 1. Course Introduction/1. Introduction to the Course.mp4 43MB
  53. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp4 42MB
  54. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp4 42MB
  55. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/6. Tensorflow Project Exercise Overview.mp4 41MB
  56. 4. Python Crash Course/3. Python Crash Course - Part 1.mp4 40MB
  57. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp4 39MB
  58. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.srt 39MB
  59. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp4 39MB
  60. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp4 38MB
  61. 3. Jupyter Overview/2. Jupyter Notebooks.mp4 38MB
  62. 14. Introduction to Machine Learning/3. Introduction to Machine Learning.mp4 38MB
  63. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp4 37MB
  64. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp4 37MB
  65. 17. Logistic Regression/6. Logistic Regression Project Solutions.mp4 37MB
  66. 26. Neural Nets and Deep Learning/5. TensorFlow Basics.mp4 37MB
  67. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp4 36MB
  68. 4. Python Crash Course/5. Python Crash Course - Part 3.mp4 36MB
  69. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp4 35MB
  70. 21. K Means Clustering/2. K Means with Python.mp4 35MB
  71. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp4 34MB
  72. 20. Support Vector Machines/4. SVM Project Solutions.mp4 34MB
  73. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp4 33MB
  74. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp4 33MB
  75. 26. Neural Nets and Deep Learning/3. What is TensorFlow.mp4 33MB
  76. 4. Python Crash Course/6. Python Crash Course - Part 4.mp4 33MB
  77. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp4 32MB
  78. 4. Python Crash Course/4. Python Crash Course - Part 2.mp4 32MB
  79. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp4 32MB
  80. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp4 30MB
  81. 5. Python for Data Analysis - NumPy/6. Numpy Operations.mp4 30MB
  82. 26. Neural Nets and Deep Learning/9. Deep Learning Project.mp4 28MB
  83. 6. Python for Data Analysis - Pandas/10. Operations.mp4 27MB
  84. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp4 25MB
  85. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/2. MNIST with Multi-Layer Perceptron - Part 1.mp4 25MB
  86. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp4 24MB
  87. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp4 24MB
  88. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp4 24MB
  89. 9. Python for Data Visualization - Seaborn/5. Grids.mp4 24MB
  90. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/5. TensorFlow with ContribLearn.mp4 24MB
  91. 17. Logistic Regression/1. Logistic Regression Theory.mp4 24MB
  92. 6. Python for Data Analysis - Pandas/3. Series.mp4 23MB
  93. 9. Python for Data Visualization - Seaborn/7. Style and Color.mp4 23MB
  94. 1. Course Introduction/2. Course Help and Welcome.mp4 22MB
  95. 3. Jupyter Overview/3. Optional Virtual Environments.mp4 22MB
  96. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp4 20MB
  97. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp4 20MB
  98. 14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.mp4 19MB
  99. 15. Linear Regression/4. Linear Regression with Python - Part 2.mp4 19MB
  100. 14. Introduction to Machine Learning/4. Machine Learning with Python.mp4 19MB
  101. 25. Big Data and Spark with Python/11. Introduction to Spark and Python.mp4 18MB
  102. 9. Python for Data Visualization - Seaborn/6. Regression Plots.mp4 18MB
  103. 25. Big Data and Spark with Python/3. Spark Overview.mp4 17MB
  104. 6. Python for Data Analysis - Pandas/8. Groupby.mp4 17MB
  105. 13. Data Capstone Project/6. Finance Data Project Overview.mp4 16MB
  106. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp4 16MB
  107. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp4 16MB
  108. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp4 15MB
  109. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp4 15MB
  110. 26. Neural Nets and Deep Learning/2. Neural Network Theory.mp4 15MB
  111. 8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp4 14MB
  112. 25. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp4 14MB
  113. 15. Linear Regression/5. Linear Regression Project Overview.mp4 14MB
  114. 6. Python for Data Analysis - Pandas/7. Missing Data.mp4 14MB
  115. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp4 13MB
  116. 26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.mp4 13MB
  117. 25. Big Data and Spark with Python/5. AWS Account Set-Up.mp4 13MB
  118. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp4 13MB
  119. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp4 13MB
  120. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp4 12MB
  121. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp4 12MB
  122. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp4 12MB
  123. 21. K Means Clustering/3. K Means Project Overview.mp4 12MB
  124. 13. Data Capstone Project/2. 911 Calls Project Overview.mp4 11MB
  125. 25. Big Data and Spark with Python/2. Big Data Overview.mp4 11MB
  126. 18. K Nearest Neighbors/1. KNN Theory.mp4 11MB
  127. 20. Support Vector Machines/3. SVM Project Overview.mp4 11MB
  128. 21. K Means Clustering/1. K Means Algorithm Theory.mp4 11MB
  129. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp4 11MB
  130. 25. Big Data and Spark with Python/8. SSH with Mac or Linux.mp4 11MB
  131. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp4 11MB
  132. 25. Big Data and Spark with Python/10. Lambda Expressions Review.mp4 10MB
  133. 20. Support Vector Machines/1. SVM Theory.mp4 10MB
  134. 15. Linear Regression/1. Linear Regression Theory.mp4 10MB
  135. 24. Natural Language Processing/1. Natural Language Processing Theory.mp4 10MB
  136. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp4 9MB
  137. 23. Recommender Systems/1. Recommender Systems.mp4 9MB
  138. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp4 9MB
  139. 24. Natural Language Processing/5. NLP Project Overview.mp4 8MB
  140. 7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp4 8MB
  141. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.srt 8MB
  142. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp4 8MB
  143. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp4 8MB
  144. 26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.mp4 7MB
  145. 22. Principal Component Analysis/1. Principal Component Analysis.mp4 7MB
  146. 18. K Nearest Neighbors/3. KNN Project Overview.mp4 7MB
  147. 17. Logistic Regression/5. Logistic Regression Project Overview.mp4 7MB
  148. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp4 7MB
  149. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp4 5MB
  150. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp4 4MB
  151. 4. Python Crash Course/2. Introduction to Python Crash Course.mp4 3MB
  152. 14. Introduction to Machine Learning/2.1 Python DS Presentations.zip.zip 3MB
  153. 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp4 2MB
  154. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.srt 39KB
  155. 25. Big Data and Spark with Python/12. RDD Transformations and Actions.srt 32KB
  156. 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.srt 30KB
  157. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.srt 28KB
  158. 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.srt 28KB
  159. 4. Python Crash Course/3. Python Crash Course - Part 1.srt 27KB
  160. 18. K Nearest Neighbors/2. KNN with Python.srt 27KB
  161. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.srt 26KB
  162. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.srt 26KB
  163. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.srt 26KB
  164. 15. Linear Regression/6. Linear Regression Project Solution.srt 26KB
  165. 15. Linear Regression/3. Linear Regression with Python - Part 1.srt 26KB
  166. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.srt 26KB
  167. 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.srt 26KB
  168. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.srt 25KB
  169. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.srt 25KB
  170. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.srt 25KB
  171. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.srt 25KB
  172. 20. Support Vector Machines/2. Support Vector Machines with Python.srt 25KB
  173. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.srt 24KB
  174. 24. Natural Language Processing/4. NLP with Python - Part 3.srt 24KB
  175. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.srt 24KB
  176. 22. Principal Component Analysis/2. PCA with Python.srt 24KB
  177. 4. Python Crash Course/5. Python Crash Course - Part 3.srt 23KB
  178. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/3. MNIST with Multi-Layer Perceptron - Part 2.srt 23KB
  179. 3. Jupyter Overview/2. Jupyter Notebooks.srt 23KB
  180. 21. K Means Clustering/4. K Means Project Solutions.srt 23KB
  181. 4. Python Crash Course/4. Python Crash Course - Part 2.srt 23KB
  182. 24. Natural Language Processing/2. NLP with Python - Part 1.srt 22KB
  183. 26. Neural Nets and Deep Learning/7. MNIST - Part Two.srt 22KB
  184. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.srt 22KB
  185. 26. Neural Nets and Deep Learning/5. TensorFlow Basics.srt 21KB
  186. 4. Python Crash Course/6. Python Crash Course - Part 4.srt 21KB
  187. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.srt 21KB
  188. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.srt 21KB
  189. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.srt 21KB
  190. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.srt 21KB
  191. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.srt 21KB
  192. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/7. Tensorflow Project Exercise - Solutions.srt 20KB
  193. 2. Environment Set-Up/1. Python Environment Setup.srt 20KB
  194. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.srt 19KB
  195. 18. K Nearest Neighbors/4. KNN Project Solutions.srt 19KB
  196. 6. Python for Data Analysis - Pandas/10. Operations.srt 18KB
  197. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.srt 18KB
  198. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/2. MNIST with Multi-Layer Perceptron - Part 1.srt 18KB
  199. 21. K Means Clustering/2. K Means with Python.srt 17KB
  200. 25. Big Data and Spark with Python/9. PySpark Setup.srt 17KB
  201. 17. Logistic Regression/1. Logistic Regression Theory.srt 17KB
  202. 14. Introduction to Machine Learning/3. Introduction to Machine Learning.srt 17KB
  203. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.srt 17KB
  204. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.srt 16KB
  205. 6. Python for Data Analysis - Pandas/3. Series.srt 16KB
  206. 3. Jupyter Overview/3. Optional Virtual Environments.srt 15KB
  207. 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.srt 15KB
  208. 17. Logistic Regression/6. Logistic Regression Project Solutions.srt 15KB
  209. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.srt 15KB
  210. 14. Introduction to Machine Learning/4. Machine Learning with Python.srt 14KB
  211. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.srt 14KB
  212. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.srt 14KB
  213. 25. Big Data and Spark with Python/3. Spark Overview.srt 14KB
  214. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.srt 13KB
  215. 20. Support Vector Machines/4. SVM Project Solutions.srt 13KB
  216. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/5. TensorFlow with ContribLearn.srt 13KB
  217. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.srt 13KB
  218. 9. Python for Data Visualization - Seaborn/5. Grids.srt 13KB
  219. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.srt 13KB
  220. 9. Python for Data Visualization - Seaborn/7. Style and Color.srt 12KB
  221. 25. Big Data and Spark with Python/11. Introduction to Spark and Python.srt 12KB
  222. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.srt 12KB
  223. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.srt 12KB
  224. 5. Python for Data Analysis - NumPy/6. Numpy Operations.srt 11KB
  225. 9. Python for Data Visualization - Seaborn/6. Regression Plots.srt 10KB
  226. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.srt 10KB
  227. 15. Linear Regression/4. Linear Regression with Python - Part 2.srt 10KB
  228. 26. Neural Nets and Deep Learning/2. Neural Network Theory.srt 10KB
  229. 6. Python for Data Analysis - Pandas/8. Groupby.srt 10KB
  230. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.srt 10KB
  231. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.srt 10KB
  232. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.srt 9KB
  233. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.srt 9KB
  234. 26. Neural Nets and Deep Learning/3. What is TensorFlow.srt 9KB
  235. 6. Python for Data Analysis - Pandas/7. Missing Data.srt 9KB
  236. 18. K Nearest Neighbors/1. KNN Theory.srt 8KB
  237. 25. Big Data and Spark with Python/8. SSH with Mac or Linux.srt 8KB
  238. 25. Big Data and Spark with Python/10. Lambda Expressions Review.srt 8KB
  239. 25. Big Data and Spark with Python/2. Big Data Overview.srt 8KB
  240. 21. K Means Clustering/1. K Means Algorithm Theory.srt 8KB
  241. 24. Natural Language Processing/1. Natural Language Processing Theory.srt 7KB
  242. 25. Big Data and Spark with Python/5. AWS Account Set-Up.srt 7KB
  243. 23. Recommender Systems/1. Recommender Systems.srt 7KB
  244. 15. Linear Regression/1. Linear Regression Theory.srt 7KB
  245. 20. Support Vector Machines/1. SVM Theory.srt 7KB
  246. 1. Course Introduction/1. Introduction to the Course.srt 6KB
  247. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.srt 6KB
  248. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.srt 6KB
  249. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.srt 5KB
  250. 13. Data Capstone Project/6. Finance Data Project Overview.srt 5KB
  251. 1. Course Introduction/3. Course FAQs.html 5KB
  252. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.srt 5KB
  253. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.srt 5KB
  254. 26. Neural Nets and Deep Learning/9. Deep Learning Project.srt 5KB
  255. 22. Principal Component Analysis/1. Principal Component Analysis.srt 5KB
  256. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.srt 5KB
  257. 21. K Means Clustering/3. K Means Project Overview.srt 5KB
  258. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.srt 4KB
  259. 15. Linear Regression/5. Linear Regression Project Overview.srt 4KB
  260. 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/6. Tensorflow Project Exercise Overview.srt 4KB
  261. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.srt 4KB
  262. 20. Support Vector Machines/3. SVM Project Overview.srt 4KB
  263. 13. Data Capstone Project/2. 911 Calls Project Overview.srt 4KB
  264. 24. Natural Language Processing/5. NLP Project Overview.srt 4KB
  265. 7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.srt 3KB
  266. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.srt 3KB
  267. 26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.srt 3KB
  268. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.srt 3KB
  269. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.srt 3KB
  270. 17. Logistic Regression/5. Logistic Regression Project Overview.srt 3KB
  271. 4. Python Crash Course/2. Introduction to Python Crash Course.srt 2KB
  272. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.srt 2KB
  273. 18. K Nearest Neighbors/3. KNN Project Overview.srt 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.srt 1KB
  276. 1. Course Introduction/2. Course Help and Welcome.srt 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!.srt 991B
  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!.srt 748B
  281. 25. Big Data and Spark with Python/1. Welcome to the Big Data Section!.srt 740B
  282. 26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.srt 709B
  283. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.srt 614B
  284. 7. Python for Data Analysis - Pandas Exercises/1. Note on SF Salary Exercise.html 559B
  285. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.srt 553B
  286. 28. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532B
  287. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.srt 469B
  288. 14. Introduction to Machine Learning/2. Link for ISLR.html 406B
  289. 25. Big Data and Spark with Python/6. Quick Note on AWS Security.html 392B
  290. 13. Data Capstone Project/5. Bank Data.html 363B
  291. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.srt 348B
  292. 3. Jupyter Overview/1. Updates to Notebook Zip.html 197B
  293. 25. Big Data and Spark with Python/9.1 Step by Step Guide for PySpark Set-up.html 158B
  294. 25. Big Data and Spark with Python/5.1 Amazon Guide to Creating an AWS Account.html 146B
  295. 3. Jupyter Overview/3.1 Updated Link to Manage Environments with Conda.html 144B
  296. 25. Big Data and Spark with Python/8.1 Amazon Guide to SSH with Mac.html 140B
  297. 14. Introduction to Machine Learning/2.2 ISLR 6th Edition PDF (Machine Learning Textbook).html 123B
  298. 14. Introduction to Machine Learning/3.1 Link for ISLR.html 123B
  299. 25. Big Data and Spark with Python/7.1 Amazon Guide to Using PuTTY for Windows SSH.html 122B
  300. 13. Data Capstone Project/5.1 Download all_banks pickle file from this link.html 117B
  301. 9. Python for Data Visualization - Seaborn/1.1 Link to Seaborn Documentation (updated).html 87B