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

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  • 文件大小:5GB
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文件列表

  1. 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 144MB
  2. 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 144MB
  3. 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 137MB
  4. 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 125MB
  5. 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt 111MB
  6. 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 111MB
  7. 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 97MB
  8. 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 85MB
  9. 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 84MB
  10. 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 83MB
  11. 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 81MB
  12. 2. Environment Set-Up/1. Python Environment Setup.mp4 76MB
  13. 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 76MB
  14. 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 76MB
  15. 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 69MB
  16. 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 65MB
  17. 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 63MB
  18. 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 63MB
  19. 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 63MB
  20. 26. Big Data and Spark with Python/9. PySpark Setup.mp4 60MB
  21. 25. Neural Nets and Deep Learning/11. Backpropagation.mp4 58MB
  22. 25. Neural Nets and Deep Learning/20. TF Classification Code Along - EDA and Preprocessing.mp4 56MB
  23. 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 56MB
  24. 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 53MB
  25. 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip 53MB
  26. 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip 52MB
  27. 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip 52MB
  28. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 51MB
  29. 11. Python for Data Visualization - Plotly and Cufflinks/3. Plotly and Cufflinks.mp4 51MB
  30. 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part One - Preparing the Data.mp4 50MB
  31. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 50MB
  32. 24. Natural Language Processing/6. NLP Project Solutions.mp4 48MB
  33. 25. Neural Nets and Deep Learning/6. Perceptron Model.mp4 48MB
  34. 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 47MB
  35. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 47MB
  36. 21. K Means Clustering/4. K Means Project Solutions.mp4 47MB
  37. 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp4 47MB
  38. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp4 46MB
  39. 25. Neural Nets and Deep Learning/9. Multi-Class Classification Considerations.mp4 46MB
  40. 18. K Nearest Neighbors/2. KNN with Python.mp4 46MB
  41. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp4 46MB
  42. 15. Linear Regression/6. Linear Regression Project Solution.mp4 45MB
  43. 15. Linear Regression/3. Linear Regression with Python - Part 1.mp4 43MB
  44. 22. Principal Component Analysis/2. PCA with Python.mp4 43MB
  45. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp4 43MB
  46. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp4 43MB
  47. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp4 42MB
  48. 24. Natural Language Processing/3. NLP with Python - Part 2.mp4 42MB
  49. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp4 41MB
  50. 24. Natural Language Processing/2. NLP with Python - Part 1.mp4 40MB
  51. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp4 40MB
  52. 14. Introduction to Machine Learning/3. Supervised Learning Overview.mp4 40MB
  53. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp4 40MB
  54. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp4 40MB
  55. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp4 39MB
  56. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp4 38MB
  57. 24. Natural Language Processing/4. NLP with Python - Part 3.mp4 38MB
  58. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp4 37MB
  59. 6. Python for Data Analysis - Pandas/11. Data Input and Output.mp4 37MB
  60. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp4 36MB
  61. 25. Neural Nets and Deep Learning/7. Neural Networks.mp4 36MB
  62. 4. Python Crash Course/3. Python Crash Course - Part 1.mp4 36MB
  63. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp4 36MB
  64. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp4 34MB
  65. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp4 34MB
  66. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp4 33MB
  67. 25. Neural Nets and Deep Learning/1.1 TensorFlow_FILES.zip 33MB
  68. 3. Jupyter Overview/2. Jupyter Notebooks.mp4 32MB
  69. 4. Python Crash Course/5. Python Crash Course - Part 3.mp4 32MB
  70. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp4 32MB
  71. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp4 31MB
  72. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp4 31MB
  73. 17. Logistic Regression/6. Logistic Regression Project Solutions.mp4 30MB
  74. 21. K Means Clustering/2. K Means with Python.mp4 30MB
  75. 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Creating and Training a Model.mp4 30MB
  76. 4. Python Crash Course/6. Python Crash Course - Part 4.mp4 29MB
  77. 1. Course Introduction/1. Introduction to the Course.mp4 29MB
  78. 4. Python Crash Course/4. Python Crash Course - Part 2.mp4 29MB
  79. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp4 29MB
  80. 20. Support Vector Machines/4. SVM Project Solutions.mp4 28MB
  81. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp4 28MB
  82. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp4 28MB
  83. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp4 27MB
  84. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp4 27MB
  85. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp4 27MB
  86. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp4 26MB
  87. 5. Python for Data Analysis - NumPy/6. Numpy Operations.mp4 25MB
  88. 6. Python for Data Analysis - Pandas/10. Operations.mp4 24MB
  89. 25. Neural Nets and Deep Learning/28. Keras Project Solutions - Data PreProcessing.mp4 24MB
  90. 14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.mp4 24MB
  91. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp4 22MB
  92. 17. Logistic Regression/1. Logistic Regression Theory.mp4 21MB
  93. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp4 21MB
  94. 6. Python for Data Analysis - Pandas/3. Series.mp4 20MB
  95. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp4 20MB
  96. 9. Python for Data Visualization - Seaborn/5. Grids.mp4 20MB
  97. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp4 19MB
  98. 9. Python for Data Visualization - Seaborn/7. Style and Color.mp4 19MB
  99. 3. Jupyter Overview/3. Optional Virtual Environments.mp4 19MB
  100. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp4 17MB
  101. 14. Introduction to Machine Learning/6. Machine Learning with Python.mp4 17MB
  102. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp4 17MB
  103. 15. Linear Regression/4. Linear Regression with Python - Part 2.mp4 16MB
  104. 26. Big Data and Spark with Python/11. Introduction to Spark and Python.mp4 16MB
  105. 26. Big Data and Spark with Python/3. Spark Overview.mp4 16MB
  106. 9. Python for Data Visualization - Seaborn/6. Regression Plots.mp4 15MB
  107. 6. Python for Data Analysis - Pandas/8. Groupby.mp4 15MB
  108. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp4 13MB
  109. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp4 13MB
  110. 13. Data Capstone Project/6. Finance Data Project Overview.mp4 12MB
  111. 6. Python for Data Analysis - Pandas/7. Missing Data.mp4 12MB
  112. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp4 12MB
  113. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp4 12MB
  114. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp4 12MB
  115. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp4 11MB
  116. 26. Big Data and Spark with Python/5. AWS Account Set-Up.mp4 11MB
  117. 15. Linear Regression/5. Linear Regression Project Overview.mp4 11MB
  118. 25. Neural Nets and Deep Learning/12. TensorFlow vs Keras.mp4 10MB
  119. 26. Big Data and Spark with Python/2. Big Data Overview.mp4 10MB
  120. 18. K Nearest Neighbors/1. KNN Theory.mp4 10MB
  121. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp4 10MB
  122. 25. Neural Nets and Deep Learning/4. Introduction to Artificial Neural Networks (ANN).mp4 10MB
  123. 21. K Means Clustering/1. K Means Algorithm Theory.mp4 10MB
  124. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp4 9MB
  125. 26. Big Data and Spark with Python/10. Lambda Expressions Review.mp4 9MB
  126. 21. K Means Clustering/3. K Means Project Overview.mp4 9MB
  127. 26. Big Data and Spark with Python/8. SSH with Mac or Linux.mp4 9MB
  128. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp4 9MB
  129. 24. Natural Language Processing/1. Natural Language Processing Theory.mp4 9MB
  130. 20. Support Vector Machines/1. SVM Theory.mp4 9MB
  131. 20. Support Vector Machines/3. SVM Project Overview.mp4 9MB
  132. 13. Data Capstone Project/2. 911 Calls Project Overview.mp4 9MB
  133. 15. Linear Regression/1. Linear Regression Theory.mp4 9MB
  134. 1. Course Introduction/2. Course Help and Welcome.mp4 8MB
  135. 23. Recommender Systems/1. Recommender Systems.mp4 8MB
  136. 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Options Overview.mp4 8MB
  137. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp4 7MB
  138. 14. Introduction to Machine Learning/2. Welcome to the Machine Learning Section!.mp4 7MB
  139. 7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp4 7MB
  140. 24. Natural Language Processing/5. NLP Project Overview.mp4 7MB
  141. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp4 7MB
  142. 22. Principal Component Analysis/1. Principal Component Analysis.mp4 6MB
  143. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp4 6MB
  144. 17. Logistic Regression/5. Logistic Regression Project Overview.mp4 5MB
  145. 26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp4 5MB
  146. 8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp4 5MB
  147. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp4 5MB
  148. 18. K Nearest Neighbors/3. KNN Project Overview.mp4 5MB
  149. 25. Neural Nets and Deep Learning/3. Welcome to the Deep Learning Section!.mp4 5MB
  150. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp4 4MB
  151. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp4 4MB
  152. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp4 4MB
  153. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp4 3MB
  154. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp4 3MB
  155. 14. Introduction to Machine Learning/1.3 Python DS Presentations.zip 3MB
  156. 4. Python Crash Course/2. Introduction to Python Crash Course.mp4 3MB
  157. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp4 2MB
  158. 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp4 2MB
  159. 26. Big Data and Spark with Python/9. PySpark Setup.srt 36KB
  160. 26. Big Data and Spark with Python/12. RDD Transformations and Actions.srt 32KB
  161. 25. Neural Nets and Deep Learning/31. Tensorboard.srt 29KB
  162. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.srt 28KB
  163. 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.srt 28KB
  164. 11. Python for Data Visualization - Plotly and Cufflinks/3. Plotly and Cufflinks.srt 28KB
  165. 4. Python Crash Course/3. Python Crash Course - Part 1.srt 27KB
  166. 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.srt 27KB
  167. 24. Natural Language Processing/6. NLP Project Solutions.srt 27KB
  168. 18. K Nearest Neighbors/2. KNN with Python.srt 27KB
  169. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.srt 26KB
  170. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.srt 26KB
  171. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.srt 26KB
  172. 15. Linear Regression/6. Linear Regression Project Solution.srt 26KB
  173. 15. Linear Regression/3. Linear Regression with Python - Part 1.srt 26KB
  174. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.srt 26KB
  175. 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.srt 26KB
  176. 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.srt 26KB
  177. 24. Natural Language Processing/3. NLP with Python - Part 2.srt 25KB
  178. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.srt 25KB
  179. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.srt 25KB
  180. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.srt 25KB
  181. 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.srt 25KB
  182. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.srt 25KB
  183. 20. Support Vector Machines/2. Support Vector Machines with Python.srt 25KB
  184. 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.srt 25KB
  185. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.srt 24KB
  186. 24. Natural Language Processing/4. NLP with Python - Part 3.srt 24KB
  187. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.srt 24KB
  188. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.srt 24KB
  189. 22. Principal Component Analysis/2. PCA with Python.srt 24KB
  190. 4. Python Crash Course/5. Python Crash Course - Part 3.srt 23KB
  191. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.srt 23KB
  192. 3. Jupyter Overview/2. Jupyter Notebooks.srt 23KB
  193. 21. K Means Clustering/4. K Means Project Solutions.srt 23KB
  194. 4. Python Crash Course/4. Python Crash Course - Part 2.srt 23KB
  195. 24. Natural Language Processing/2. NLP with Python - Part 1.srt 22KB
  196. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.srt 22KB
  197. 4. Python Crash Course/6. Python Crash Course - Part 4.srt 21KB
  198. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.srt 21KB
  199. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.srt 21KB
  200. 6. Python for Data Analysis - Pandas/11. Data Input and Output.srt 21KB
  201. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.srt 21KB
  202. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.srt 21KB
  203. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.srt 21KB
  204. 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.srt 20KB
  205. 25. Neural Nets and Deep Learning/11. Backpropagation.srt 20KB
  206. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.srt 20KB
  207. 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.srt 20KB
  208. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.srt 19KB
  209. 18. K Nearest Neighbors/4. KNN Project Solutions.srt 19KB
  210. 2. Environment Set-Up/1. Python Environment Setup.srt 19KB
  211. 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.srt 18KB
  212. 6. Python for Data Analysis - Pandas/10. Operations.srt 18KB
  213. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.srt 18KB
  214. 21. K Means Clustering/2. K Means with Python.srt 17KB
  215. 17. Logistic Regression/1. Logistic Regression Theory.srt 17KB
  216. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.srt 17KB
  217. 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.srt 17KB
  218. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.srt 17KB
  219. 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.srt 17KB
  220. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.srt 16KB
  221. 25. Neural Nets and Deep Learning/8. Activation Functions.srt 16KB
  222. 25. Neural Nets and Deep Learning/9. Multi-Class Classification Considerations.srt 16KB
  223. 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.srt 16KB
  224. 6. Python for Data Analysis - Pandas/3. Series.srt 16KB
  225. 3. Jupyter Overview/3. Optional Virtual Environments.srt 15KB
  226. 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part One - Preparing the Data.srt 15KB
  227. 17. Logistic Regression/6. Logistic Regression Project Solutions.srt 15KB
  228. 25. Neural Nets and Deep Learning/6. Perceptron Model.srt 15KB
  229. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.srt 15KB
  230. 14. Introduction to Machine Learning/6. Machine Learning with Python.srt 14KB
  231. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.srt 14KB
  232. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.srt 14KB
  233. 26. Big Data and Spark with Python/3. Spark Overview.srt 14KB
  234. 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.srt 13KB
  235. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.srt 13KB
  236. 20. Support Vector Machines/4. SVM Project Solutions.srt 13KB
  237. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.srt 13KB
  238. 9. Python for Data Visualization - Seaborn/5. Grids.srt 13KB
  239. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.srt 13KB
  240. 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.srt 12KB
  241. 14. Introduction to Machine Learning/3. Supervised Learning Overview.srt 12KB
  242. 9. Python for Data Visualization - Seaborn/7. Style and Color.srt 12KB
  243. 26. Big Data and Spark with Python/11. Introduction to Spark and Python.srt 12KB
  244. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.srt 12KB
  245. 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Data Preprocessing and Creating a Model.srt 12KB
  246. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.srt 12KB
  247. 25. Neural Nets and Deep Learning/20. TF Classification Code Along - EDA and Preprocessing.srt 11KB
  248. 5. Python for Data Analysis - NumPy/6. Numpy Operations.srt 11KB
  249. 25. Neural Nets and Deep Learning/7. Neural Networks.srt 11KB
  250. 9. Python for Data Visualization - Seaborn/6. Regression Plots.srt 10KB
  251. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.srt 10KB
  252. 15. Linear Regression/4. Linear Regression with Python - Part 2.srt 10KB
  253. 6. Python for Data Analysis - Pandas/8. Groupby.srt 10KB
  254. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.srt 10KB
  255. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.srt 10KB
  256. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.srt 9KB
  257. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.srt 9KB
  258. 6. Python for Data Analysis - Pandas/7. Missing Data.srt 9KB
  259. 14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.srt 8KB
  260. 18. K Nearest Neighbors/1. KNN Theory.srt 8KB
  261. 26. Big Data and Spark with Python/8. SSH with Mac or Linux.srt 8KB
  262. 26. Big Data and Spark with Python/10. Lambda Expressions Review.srt 8KB
  263. 26. Big Data and Spark with Python/2. Big Data Overview.srt 8KB
  264. 21. K Means Clustering/1. K Means Algorithm Theory.srt 8KB
  265. 24. Natural Language Processing/1. Natural Language Processing Theory.srt 7KB
  266. 26. Big Data and Spark with Python/5. AWS Account Set-Up.srt 7KB
  267. 23. Recommender Systems/1. Recommender Systems.srt 7KB
  268. 15. Linear Regression/1. Linear Regression Theory.srt 7KB
  269. 20. Support Vector Machines/1. SVM Theory.srt 7KB
  270. 1. Course Introduction/1. Introduction to the Course.srt 6KB
  271. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.srt 6KB
  272. 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Creating and Training a Model.srt 6KB
  273. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.srt 6KB
  274. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.srt 5KB
  275. 13. Data Capstone Project/6. Finance Data Project Overview.srt 5KB
  276. 1. Course Introduction/3. Course FAQs.html 5KB
  277. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.srt 5KB
  278. 25. Neural Nets and Deep Learning/28. Keras Project Solutions - Data PreProcessing.srt 5KB
  279. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.srt 5KB
  280. 22. Principal Component Analysis/1. Principal Component Analysis.srt 5KB
  281. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.srt 5KB
  282. 21. K Means Clustering/3. K Means Project Overview.srt 5KB
  283. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.srt 4KB
  284. 15. Linear Regression/5. Linear Regression Project Overview.srt 4KB
  285. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.srt 4KB
  286. 20. Support Vector Machines/3. SVM Project Overview.srt 4KB
  287. 13. Data Capstone Project/2. 911 Calls Project Overview.srt 4KB
  288. 24. Natural Language Processing/5. NLP Project Overview.srt 4KB
  289. 7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.srt 3KB
  290. 25. Neural Nets and Deep Learning/4. Introduction to Artificial Neural Networks (ANN).srt 3KB
  291. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.srt 3KB
  292. 25. Neural Nets and Deep Learning/12. TensorFlow vs Keras.srt 3KB
  293. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.srt 3KB
  294. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.srt 3KB
  295. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.srt 3KB
  296. 17. Logistic Regression/5. Logistic Regression Project Overview.srt 3KB
  297. 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Options Overview.srt 3KB
  298. 4. Python Crash Course/2. Introduction to Python Crash Course.srt 2KB
  299. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.srt 2KB
  300. 18. K Nearest Neighbors/3. KNN Project Overview.srt 2KB
  301. 26. Big Data and Spark with Python/4. Local Spark Set-Up.html 2KB
  302. 11. Python for Data Visualization - Plotly and Cufflinks/2. READ ME FIRST BEFORE PLOTLY PLEASE!.html 2KB
  303. 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.srt 1KB
  304. 1. Course Introduction/2. Course Help and Welcome.srt 1KB
  305. 5. Python for Data Analysis - NumPy/4. Quick Note on Array Indexing.html 1KB
  306. 14. Introduction to Machine Learning/2. Welcome to the Machine Learning Section!.srt 991B
  307. 14. Introduction to Machine Learning/1. Welcome to Machine Learning. Here are a few resources to get you started!.html 847B
  308. 15. Linear Regression/2. model_selection Updates for SciKit Learn 0.18.html 845B
  309. 8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.srt 748B
  310. 26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.srt 740B
  311. 25. Neural Nets and Deep Learning/3. Welcome to the Deep Learning Section!.srt 709B
  312. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.srt 614B
  313. 7. Python for Data Analysis - Pandas Exercises/1. Note on SF Salary Exercise.html 559B
  314. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.srt 553B
  315. 27. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532B
  316. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.srt 469B
  317. 25. Neural Nets and Deep Learning/5. Installing Tensorflow.html 408B
  318. 26. Big Data and Spark with Python/6. Quick Note on AWS Security.html 392B
  319. 13. Data Capstone Project/5. Bank Data.html 363B
  320. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.srt 348B
  321. 25. Neural Nets and Deep Learning/1. Download TensorFlow Notebooks Here.html 315B
  322. 3. Jupyter Overview/1. Updates to Notebook Zip.html 197B
  323. 25. Neural Nets and Deep Learning/2. Quick Check for Notes.html 164B
  324. 26. Big Data and Spark with Python/9.1 Step by Step Guide for PySpark Set-up.html 158B
  325. 26. Big Data and Spark with Python/5.1 Amazon Guide to Creating an AWS Account.html 146B
  326. 3. Jupyter Overview/3.1 Updated Link to Manage Environments with Conda.html 144B
  327. 26. Big Data and Spark with Python/8.1 Amazon Guide to SSH with Mac.html 140B
  328. 14. Introduction to Machine Learning/1.1 Slides for this section to view (please do not request edit access).html 138B
  329. 25. Neural Nets and Deep Learning/1.2 Slides for Deep Learning Section.html 138B
  330. [Tutorialsplanet.NET].url 128B
  331. 14. Introduction to Machine Learning/1.2 ISLR 6th Edition PDF (Machine Learning Textbook).html 123B
  332. 26. Big Data and Spark with Python/7.1 Amazon Guide to Using PuTTY for Windows SSH.html 122B
  333. 13. Data Capstone Project/5.1 Download all_banks pickle file from this link.html 117B
  334. 9. Python for Data Visualization - Seaborn/1.1 Link to Seaborn Documentation (updated).html 87B