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[06-2020] complete-machine-learning-and-data-science-zero-to-mastery

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06-2020 complete-machine-learning-and-data-science-zero-to-mastery

文件列表
  1. 16 Career Advice + Extra Bits/261 CWD_ Git + Github.mp4363.28MB
  2. 01 Introduction/001 Course Outline.mp4144.64MB
  3. 01 Introduction/004 Your First Day.mp443.05MB
  4. 02 Machine Learning 101/005 What Is Machine Learning_.mp429.96MB
  5. 02 Machine Learning 101/006 AI_Machine Learning_Data Science.mp422.75MB
  6. 02 Machine Learning 101/007 Exercise_ Machine Learning Playground.mp465.73MB
  7. 02 Machine Learning 101/008 How Did We Get Here_.mp439.17MB
  8. 02 Machine Learning 101/009 Exercise_ YouTube Recommendation Engine.mp413.12MB
  9. 02 Machine Learning 101/010 Types of Machine Learning.mp415.04MB
  10. 02 Machine Learning 101/012 What Is Machine Learning_ Round 2.mp419.15MB
  11. 02 Machine Learning 101/013 Section Review.mp44.06MB
  12. 03 Machine Learning and Data Science Framework/014 Section Overview.mp49.63MB
  13. 03 Machine Learning and Data Science Framework/015 Introducing Our Framework.mp46.36MB
  14. 03 Machine Learning and Data Science Framework/016 6 Step Machine Learning Framework.mp415.22MB
  15. 03 Machine Learning and Data Science Framework/017 Types of Machine Learning Problems.mp433.12MB
  16. 03 Machine Learning and Data Science Framework/018 Types of Data.mp433.5MB
  17. 03 Machine Learning and Data Science Framework/019 Types of Evaluation.mp49.79MB
  18. 03 Machine Learning and Data Science Framework/020 Features In Data.mp424.47MB
  19. 03 Machine Learning and Data Science Framework/021 Modelling - Splitting Data.mp416.75MB
  20. 03 Machine Learning and Data Science Framework/022 Modelling - Picking the Model.mp413.1MB
  21. 03 Machine Learning and Data Science Framework/023 Modelling - Tuning.mp49.28MB
  22. 03 Machine Learning and Data Science Framework/024 Modelling - Comparison.mp427.28MB
  23. 03 Machine Learning and Data Science Framework/026 Experimentation.mp418.89MB
  24. 03 Machine Learning and Data Science Framework/027 Tools We Will Use.mp420.53MB
  25. 04 The 2 Paths/029 The 2 Paths.mp46.99MB
  26. 05 Data Science Environment Setup/031 Section Overview.mp43.93MB
  27. 05 Data Science Environment Setup/032 Introducing Our Tools.mp416.38MB
  28. 05 Data Science Environment Setup/033 What is Conda_.mp47.38MB
  29. 05 Data Science Environment Setup/034 Conda Environments.mp424.72MB
  30. 05 Data Science Environment Setup/035 Mac Environment Setup.mp4262.6MB
  31. 05 Data Science Environment Setup/036 Mac Environment Setup 2.mp4223.67MB
  32. 05 Data Science Environment Setup/037 Windows Environment Setup.mp459.4MB
  33. 05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4349.11MB
  34. 05 Data Science Environment Setup/041 Jupyter Notebook Walkthrough.mp4102.55MB
  35. 05 Data Science Environment Setup/042 Jupyter Notebook Walkthrough 2.mp4152.98MB
  36. 05 Data Science Environment Setup/043 Jupyter Notebook Walkthrough 3.mp4127.78MB
  37. 06 Pandas_ Data Analysis/044 Section Overview.mp47.83MB
  38. 06 Pandas_ Data Analysis/046 Pandas Introduction.mp417.93MB
  39. 06 Pandas_ Data Analysis/047 Series, Data Frames and CSVs.mp4166.07MB
  40. 06 Pandas_ Data Analysis/049 Describing Data with Pandas.mp4112.57MB
  41. 06 Pandas_ Data Analysis/050 Selecting and Viewing Data with Pandas.mp4106.88MB
  42. 06 Pandas_ Data Analysis/051 Selecting and Viewing Data with Pandas Part 2.mp4187.25MB
  43. 06 Pandas_ Data Analysis/052 Manipulating Data.mp4181.28MB
  44. 06 Pandas_ Data Analysis/053 Manipulating Data 2.mp4156.04MB
  45. 06 Pandas_ Data Analysis/054 Manipulating Data 3.mp4137.81MB
  46. 06 Pandas_ Data Analysis/056 How To Download The Course Assignments.mp445.44MB
  47. 07 NumPy/057 Section Overview.mp422.55MB
  48. 07 NumPy/058 NumPy Introduction.mp421.62MB
  49. 07 NumPy/060 NumPy DataTypes and Attributes.mp494.05MB
  50. 07 NumPy/061 Creating NumPy Arrays.mp477.89MB
  51. 07 NumPy/062 NumPy Random Seed.mp461.99MB
  52. 07 NumPy/063 Viewing Arrays and Matrices.mp4104.01MB
  53. 07 NumPy/064 Manipulating Arrays.mp4119.44MB
  54. 07 NumPy/065 Manipulating Arrays 2.mp4101.87MB
  55. 07 NumPy/066 Standard Deviation and Variance.mp461.83MB
  56. 07 NumPy/067 Reshape and Transpose.mp491.58MB
  57. 07 NumPy/068 Dot Product vs Element Wise.mp4122.83MB
  58. 07 NumPy/069 Exercise_ Nut Butter Store Sales.mp4135.03MB
  59. 07 NumPy/070 Comparison Operators.mp438.52MB
  60. 07 NumPy/071 Sorting Arrays.mp439.31MB
  61. 07 NumPy/072 Turn Images Into NumPy Arrays.mp4165.01MB
  62. 08 Matplotlib_ Plotting and Data Visualization/075 Section Overview.mp46.09MB
  63. 08 Matplotlib_ Plotting and Data Visualization/076 Matplotlib Introduction.mp435.02MB
  64. 08 Matplotlib_ Plotting and Data Visualization/077 Importing And Using Matplotlib.mp4147.2MB
  65. 08 Matplotlib_ Plotting and Data Visualization/078 Anatomy Of A Matplotlib Figure.mp491.76MB
  66. 08 Matplotlib_ Plotting and Data Visualization/079 Scatter Plot And Bar Plot.mp475.53MB
  67. 08 Matplotlib_ Plotting and Data Visualization/080 Histograms And Subplots.mp498.43MB
  68. 08 Matplotlib_ Plotting and Data Visualization/081 Subplots Option 2.mp454.63MB
  69. 08 Matplotlib_ Plotting and Data Visualization/082 Quick Tip_ Data Visualizations.mp46.8MB
  70. 08 Matplotlib_ Plotting and Data Visualization/083 Plotting From Pandas DataFrames.mp490.1MB
  71. 08 Matplotlib_ Plotting and Data Visualization/085 Plotting From Pandas DataFrames 2.mp4177.54MB
  72. 08 Matplotlib_ Plotting and Data Visualization/086 Plotting from Pandas DataFrames 3.mp4127.49MB
  73. 08 Matplotlib_ Plotting and Data Visualization/087 Plotting from Pandas DataFrames 4.mp453.53MB
  74. 08 Matplotlib_ Plotting and Data Visualization/088 Plotting from Pandas DataFrames 5.mp493.42MB
  75. 08 Matplotlib_ Plotting and Data Visualization/089 Plotting from Pandas DataFrames 6.mp4121.51MB
  76. 08 Matplotlib_ Plotting and Data Visualization/090 Plotting from Pandas DataFrames 7.mp4220.71MB
  77. 08 Matplotlib_ Plotting and Data Visualization/091 Customizing Your Plots.mp4133.27MB
  78. 08 Matplotlib_ Plotting and Data Visualization/092 Customizing Your Plots 2.mp4235.99MB
  79. 08 Matplotlib_ Plotting and Data Visualization/093 Saving And Sharing Your Plots.mp492.85MB
  80. 09 Scikit-learn_ Creating Machine Learning Models/095 Section Overview.mp48.73MB
  81. 09 Scikit-learn_ Creating Machine Learning Models/096 Scikit-learn Introduction.mp426.89MB
  82. 09 Scikit-learn_ Creating Machine Learning Models/098 Refresher_ What Is Machine Learning_.mp433.65MB
  83. 09 Scikit-learn_ Creating Machine Learning Models/100 Scikit-learn Cheatsheet.mp4139.93MB
  84. 09 Scikit-learn_ Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4337.47MB
  85. 09 Scikit-learn_ Creating Machine Learning Models/102 Optional_ Debugging Warnings In Jupyter.mp4323.08MB
  86. 09 Scikit-learn_ Creating Machine Learning Models/103 Getting Your Data Ready_ Splitting Your Data.mp4109.4MB
  87. 09 Scikit-learn_ Creating Machine Learning Models/104 Quick Tip_ Clean, Transform, Reduce.mp415.45MB
  88. 09 Scikit-learn_ Creating Machine Learning Models/105 Getting Your Data Ready_ Convert Data To Numbers.mp4238.13MB
  89. 09 Scikit-learn_ Creating Machine Learning Models/106 Getting Your Data Ready_ Handling Missing Values With Pandas.mp4187.61MB
  90. 09 Scikit-learn_ Creating Machine Learning Models/109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4242.58MB
  91. 09 Scikit-learn_ Creating Machine Learning Models/110 Choosing The Right Model For Your Data.mp4262.61MB
  92. 09 Scikit-learn_ Creating Machine Learning Models/111 Choosing The Right Model For Your Data 2 (Regression).mp4161.05MB
  93. 09 Scikit-learn_ Creating Machine Learning Models/113 Quick Tip_ How ML Algorithms Work.mp47.28MB
  94. 09 Scikit-learn_ Creating Machine Learning Models/114 Choosing The Right Model For Your Data 3 (Classification).mp4217.07MB
  95. 09 Scikit-learn_ Creating Machine Learning Models/115 Fitting A Model To The Data.mp467.57MB
  96. 09 Scikit-learn_ Creating Machine Learning Models/116 Making Predictions With Our Model.mp4118.58MB
  97. 09 Scikit-learn_ Creating Machine Learning Models/117 predict() vs predict_proba().mp467.01MB
  98. 09 Scikit-learn_ Creating Machine Learning Models/118 Making Predictions With Our Model (Regression).mp476.48MB
  99. 09 Scikit-learn_ Creating Machine Learning Models/119 Evaluating A Machine Learning Model (Score).mp4160.14MB
  100. 09 Scikit-learn_ Creating Machine Learning Models/120 Evaluating A Machine Learning Model 2 (Cross Validation).mp4166.17MB
  101. 09 Scikit-learn_ Creating Machine Learning Models/121 Evaluating A Classification Model 1 (Accuracy).mp452.94MB
  102. 09 Scikit-learn_ Creating Machine Learning Models/122 Evaluating A Classification Model 2 (ROC Curve).mp499.08MB
  103. 09 Scikit-learn_ Creating Machine Learning Models/123 Evaluating A Classification Model 3 (ROC Curve).mp485.74MB
  104. 09 Scikit-learn_ Creating Machine Learning Models/125 Evaluating A Classification Model 4 (Confusion Matrix).mp4136.82MB
  105. 09 Scikit-learn_ Creating Machine Learning Models/126 Evaluating A Classification Model 5 (Confusion Matrix).mp496.09MB
  106. 09 Scikit-learn_ Creating Machine Learning Models/127 Evaluating A Classification Model 6 (Classification Report).mp4152.06MB
  107. 09 Scikit-learn_ Creating Machine Learning Models/128 Evaluating A Regression Model 1 (R2 Score).mp4123.65MB
  108. 09 Scikit-learn_ Creating Machine Learning Models/129 Evaluating A Regression Model 2 (MAE).mp450.04MB
  109. 09 Scikit-learn_ Creating Machine Learning Models/130 Evaluating A Regression Model 3 (MSE).mp479.39MB
  110. 09 Scikit-learn_ Creating Machine Learning Models/132 Evaluating A Model With Cross Validation and Scoring Parameter.mp4157.8MB
  111. 09 Scikit-learn_ Creating Machine Learning Models/133 Evaluating A Model With Scikit-learn Functions.mp4169.44MB
  112. 09 Scikit-learn_ Creating Machine Learning Models/134 Improving A Machine Learning Model.mp4161.77MB
  113. 09 Scikit-learn_ Creating Machine Learning Models/135 Tuning Hyperparameters.mp4311.45MB
  114. 09 Scikit-learn_ Creating Machine Learning Models/136 Tuning Hyperparameters 2.mp4203.74MB
  115. 09 Scikit-learn_ Creating Machine Learning Models/137 Tuning Hyperparameters 3.mp4212.64MB
  116. 09 Scikit-learn_ Creating Machine Learning Models/139 Quick Tip_ Correlation Analysis.mp431.12MB
  117. 09 Scikit-learn_ Creating Machine Learning Models/140 Saving And Loading A Model.mp478.7MB
  118. 09 Scikit-learn_ Creating Machine Learning Models/141 Saving And Loading A Model 2.mp486.3MB
  119. 09 Scikit-learn_ Creating Machine Learning Models/142 Putting It All Together.mp4284.69MB
  120. 09 Scikit-learn_ Creating Machine Learning Models/143 Putting It All Together 2.mp4212.77MB
  121. 11 Milestone Project 1_ Supervised Learning (Classification)/146 Section Overview.mp47.08MB
  122. 11 Milestone Project 1_ Supervised Learning (Classification)/147 Project Overview.mp422.22MB
  123. 11 Milestone Project 1_ Supervised Learning (Classification)/148 Project Environment Setup.mp4174.43MB
  124. 11 Milestone Project 1_ Supervised Learning (Classification)/149 Step 1~4 Framework Setup.mp4191.55MB
  125. 11 Milestone Project 1_ Supervised Learning (Classification)/150 Getting Our Tools Ready.mp4142.95MB
  126. 11 Milestone Project 1_ Supervised Learning (Classification)/151 Exploring Our Data.mp4119.48MB
  127. 11 Milestone Project 1_ Supervised Learning (Classification)/152 Finding Patterns.mp4107.16MB
  128. 11 Milestone Project 1_ Supervised Learning (Classification)/153 Finding Patterns 2.mp4166.88MB
  129. 11 Milestone Project 1_ Supervised Learning (Classification)/154 Finding Patterns 3.mp4250.11MB
  130. 11 Milestone Project 1_ Supervised Learning (Classification)/155 Preparing Our Data For Machine Learning.mp4129.22MB
  131. 11 Milestone Project 1_ Supervised Learning (Classification)/156 Choosing The Right Models.mp4175.69MB
  132. 11 Milestone Project 1_ Supervised Learning (Classification)/157 Experimenting With Machine Learning Models.mp4100.65MB
  133. 11 Milestone Project 1_ Supervised Learning (Classification)/158 Tuning_Improving Our Model.mp4153.15MB
  134. 11 Milestone Project 1_ Supervised Learning (Classification)/159 Tuning Hyperparameters.mp4194.48MB
  135. 11 Milestone Project 1_ Supervised Learning (Classification)/160 Tuning Hyperparameters 2.mp4188.71MB
  136. 11 Milestone Project 1_ Supervised Learning (Classification)/161 Tuning Hyperparameters 3.mp4113.64MB
  137. 11 Milestone Project 1_ Supervised Learning (Classification)/162 Evaluating Our Model.mp4123.36MB
  138. 11 Milestone Project 1_ Supervised Learning (Classification)/163 Evaluating Our Model 2.mp447.19MB
  139. 11 Milestone Project 1_ Supervised Learning (Classification)/164 Evaluating Our Model 3.mp4112.62MB
  140. 11 Milestone Project 1_ Supervised Learning (Classification)/165 Finding The Most Important Features.mp4223.72MB
  141. 11 Milestone Project 1_ Supervised Learning (Classification)/166 Reviewing The Project.mp4157.52MB
  142. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/167 Section Overview.mp415.82MB
  143. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/168 Project Overview.mp426.4MB
  144. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/169 Project Environment Setup.mp4179.59MB
  145. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/170 Step 1~4 Framework Setup.mp4155.67MB
  146. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/172 Exploring Our Data.mp4252.86MB
  147. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/173 Exploring Our Data 2.mp491.44MB
  148. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/174 Feature Engineering.mp4181.51MB
  149. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/175 Turning Data Into Numbers.mp4267.05MB
  150. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/176 Filling Missing Numerical Values.mp4191.18MB
  151. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/177 Filling Missing Categorical Values.mp499.94MB
  152. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/178 Fitting A Machine Learning Model.mp496.56MB
  153. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/179 Splitting Data.mp4146.61MB
  154. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/181 Custom Evaluation Function.mp4185.02MB
  155. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/182 Reducing Data.mp4169.63MB
  156. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/183 RandomizedSearchCV.mp4130.05MB
  157. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/184 Improving Hyperparameters.mp4145.08MB
  158. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/185 Preproccessing Our Data.mp4259.74MB
  159. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/186 Making Predictions.mp4142.98MB
  160. 12 Milestone Project 2_ Supervised Learning (Time Series Data)/187 Feature Importance.mp4255.03MB
  161. 13 Data Engineering/188 Data Engineering Introduction.mp49.74MB
  162. 13 Data Engineering/189 What Is Data_.mp452.67MB
  163. 13 Data Engineering/190 What Is A Data Engineer_.mp414.55MB
  164. 13 Data Engineering/191 What Is A Data Engineer 2_.mp418.84MB
  165. 13 Data Engineering/192 What Is A Data Engineer 3_.mp417.24MB
  166. 13 Data Engineering/193 What Is A Data Engineer 4_.mp411.46MB
  167. 13 Data Engineering/194 Types Of Databases.mp442.02MB
  168. 13 Data Engineering/196 Optional_ OLTP Databases.mp4124.97MB
  169. 13 Data Engineering/198 Hadoop, HDFS and MapReduce.mp47.13MB
  170. 13 Data Engineering/199 Apache Spark and Apache Flink.mp44.49MB
  171. 13 Data Engineering/200 Kafka and Stream Processing.mp417.02MB
  172. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/201 Section Overview.mp410.63MB
  173. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/202 Deep Learning and Unstructured Data.mp4120.64MB
  174. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/204 Setting Up Google Colab.mp4136.89MB
  175. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/205 Google Colab Workspace.mp458.82MB
  176. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/206 Uploading Project Data.mp492.31MB
  177. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/207 Setting Up Our Data.mp476.34MB
  178. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/208 Setting Up Our Data 2.mp437.56MB
  179. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/209 Importing TensorFlow 2.mp4211.23MB
  180. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/210 Optional_ TensorFlow 2.0 Default Issue.mp423.51MB
  181. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/211 Using A GPU.mp450.29MB
  182. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/212 Optional_ GPU and Google Colab.mp469.65MB
  183. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/213 Optional_ Reloading Colab Notebook.mp4167.55MB
  184. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/214 Loading Our Data Labels.mp4206.77MB
  185. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/215 Preparing The Images.mp4244.72MB
  186. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/216 Turning Data Labels Into Numbers.mp4196.28MB
  187. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/217 Creating Our Own Validation Set.mp495.39MB
  188. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/218 Preprocess Images.mp4158.5MB
  189. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/219 Preprocess Images 2.mp4191.03MB
  190. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/220 Turning Data Into Batches.mp4132.33MB
  191. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/221 Turning Data Into Batches 2.mp4227.04MB
  192. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/222 Visualizing Our Data.mp4222.98MB
  193. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/223 Preparing Our Inputs and Outputs.mp485.14MB
  194. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/225 Building A Deep Learning Model.mp4224.85MB
  195. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/226 Building A Deep Learning Model 2.mp4159.29MB
  196. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/227 Building A Deep Learning Model 3.mp4197.98MB
  197. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/228 Building A Deep Learning Model 4.mp4129.37MB
  198. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/229 Summarizing Our Model.mp482.38MB
  199. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/230 Evaluating Our Model.mp4116.74MB
  200. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/231 Preventing Overfitting.mp454.96MB
  201. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/232 Training Your Deep Neural Network.mp4298.59MB
  202. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/233 Evaluating Performance With TensorBoard.mp4133.93MB
  203. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/234 Make And Transform Predictions.mp4280.43MB
  204. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/235 Transform Predictions To Text.mp4229.91MB
  205. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/236 Visualizing Model Predictions.mp490.93MB
  206. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/237 Visualizing And Evaluate Model Predictions 2.mp4255.21MB
  207. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/238 Visualizing And Evaluate Model Predictions 3.mp4209.42MB
  208. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/239 Saving And Loading A Trained Model.mp4227.76MB
  209. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/240 Training Model On Full Dataset.mp4252.63MB
  210. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/241 Making Predictions On Test Images.mp4209.84MB
  211. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/242 Submitting Model to Kaggle.mp4177.5MB
  212. 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/243 Making Predictions On Our Images.mp4210.76MB
  213. 15 Storytelling + Communication_ How To Present Your Work/245 Section Overview.mp47.67MB
  214. 15 Storytelling + Communication_ How To Present Your Work/246 Communicating Your Work.mp413.79MB
  215. 15 Storytelling + Communication_ How To Present Your Work/247 Communicating With Managers.mp411.08MB
  216. 15 Storytelling + Communication_ How To Present Your Work/248 Communicating With Co-Workers.mp411.58MB
  217. 15 Storytelling + Communication_ How To Present Your Work/249 Weekend Project Principle.mp415.11MB
  218. 15 Storytelling + Communication_ How To Present Your Work/250 Communicating With Outside World.mp49.31MB
  219. 15 Storytelling + Communication_ How To Present Your Work/251 Storytelling.mp47.01MB
  220. 16 Career Advice + Extra Bits/255 What If I Don't Have Enough Experience_.mp4312.95MB
  221. 16 Career Advice + Extra Bits/258 JTS_ Learn to Learn.mp410.52MB
  222. 16 Career Advice + Extra Bits/259 JTS_ Start With Why.mp414.4MB
  223. 16 Career Advice + Extra Bits/262 CWD_ Git + Github 2.mp4205.55MB
  224. 16 Career Advice + Extra Bits/263 Contributing To Open Source.mp4199.76MB
  225. 16 Career Advice + Extra Bits/264 Contributing To Open Source 2.mp4213.88MB
  226. 17 Learn Python/267 What Is A Programming Language.mp434.3MB
  227. 17 Learn Python/268 Python Interpreter.mp4139.4MB
  228. 17 Learn Python/269 How To Run Python Code.mp471.88MB
  229. 17 Learn Python/270 Our First Python Program.mp462.84MB
  230. 17 Learn Python/271 Python 2 vs Python 3.mp4118.19MB
  231. 17 Learn Python/272 Exercise_ How Does Python Work_.mp428.91MB
  232. 17 Learn Python/273 Learning Python.mp412.17MB
  233. 17 Learn Python/274 Python Data Types.mp419.4MB
  234. 17 Learn Python/276 Numbers.mp481.01MB
  235. 17 Learn Python/277 Math Functions.mp444.55MB
  236. 17 Learn Python/278 DEVELOPER FUNDAMENTALS_ I.mp4107.44MB
  237. 17 Learn Python/279 Operator Precedence.mp48.5MB
  238. 17 Learn Python/281 Optional_ bin() and complex.mp423.95MB
  239. 17 Learn Python/282 Variables.mp4100.54MB
  240. 17 Learn Python/283 Expressions vs Statements.mp44.89MB
  241. 17 Learn Python/284 Augmented Assignment Operator.mp48.6MB
  242. 17 Learn Python/285 Strings.mp417.31MB
  243. 17 Learn Python/286 String Concatenation.mp43.82MB
  244. 17 Learn Python/287 Type Conversion.mp425.21MB
  245. 17 Learn Python/288 Escape Sequences.mp413.18MB
  246. 17 Learn Python/289 Formatted Strings.mp427.31MB
  247. 17 Learn Python/290 String Indexes.mp426.1MB
  248. 17 Learn Python/291 Immutability.mp412.86MB
  249. 17 Learn Python/292 Built-In Functions + Methods.mp474.25MB
  250. 17 Learn Python/293 Booleans.mp411.32MB
  251. 17 Learn Python/294 Exercise_ Type Conversion.mp434.19MB
  252. 17 Learn Python/295 DEVELOPER FUNDAMENTALS_ II.mp432.64MB
  253. 17 Learn Python/296 Exercise_ Password Checker.mp439.2MB
  254. 17 Learn Python/297 Lists.mp413.22MB
  255. 17 Learn Python/298 List Slicing.mp427.22MB
  256. 17 Learn Python/299 Matrix.mp410.87MB
  257. 17 Learn Python/300 List Methods.mp465.94MB
  258. 17 Learn Python/301 List Methods 2.mp429.51MB
  259. 17 Learn Python/302 List Methods 3.mp429.85MB
  260. 17 Learn Python/303 Common List Patterns.mp426.67MB
  261. 17 Learn Python/304 List Unpacking.mp49.45MB
  262. 17 Learn Python/305 None.mp44.57MB
  263. 17 Learn Python/306 Dictionaries.mp419.08MB
  264. 17 Learn Python/307 DEVELOPER FUNDAMENTALS_ III.mp415.02MB
  265. 17 Learn Python/308 Dictionary Keys.mp412.12MB
  266. 17 Learn Python/309 Dictionary Methods.mp415.27MB
  267. 17 Learn Python/310 Dictionary Methods 2.mp446.9MB
  268. 17 Learn Python/311 Tuples.mp415.3MB
  269. 17 Learn Python/312 Tuples 2.mp49.61MB
  270. 17 Learn Python/313 Sets.mp439.55MB
  271. 17 Learn Python/314 Sets 2.mp492.37MB
  272. 18 Learn Python Part 2/315 Breaking The Flow.mp412.85MB
  273. 18 Learn Python Part 2/316 Conditional Logic.mp493.47MB
  274. 18 Learn Python Part 2/317 Indentation In Python.mp417.94MB
  275. 18 Learn Python Part 2/318 Truthy vs Falsey.mp463.71MB
  276. 18 Learn Python Part 2/319 Ternary Operator.mp412.73MB
  277. 18 Learn Python Part 2/320 Short Circuiting.mp412.44MB
  278. 18 Learn Python Part 2/321 Logical Operators.mp422.56MB
  279. 18 Learn Python Part 2/322 Exercise_ Logical Operators.mp437.46MB
  280. 18 Learn Python Part 2/323 is vs ==.mp427.55MB
  281. 18 Learn Python Part 2/324 For Loops.mp425.57MB
  282. 18 Learn Python Part 2/325 Iterables.mp438.17MB
  283. 18 Learn Python Part 2/326 Exercise_ Tricky Counter.mp410.21MB
  284. 18 Learn Python Part 2/327 range().mp434.69MB
  285. 18 Learn Python Part 2/328 enumerate().mp414.38MB
  286. 18 Learn Python Part 2/329 While Loops.mp421.38MB
  287. 18 Learn Python Part 2/330 While Loops 2.mp417.05MB
  288. 18 Learn Python Part 2/331 break, continue, pass.mp414.32MB
  289. 18 Learn Python Part 2/332 Our First GUI.mp479.86MB
  290. 18 Learn Python Part 2/333 DEVELOPER FUNDAMENTALS_ IV.mp441.84MB
  291. 18 Learn Python Part 2/334 Exercise_ Find Duplicates.mp412.97MB
  292. 18 Learn Python Part 2/335 Functions.mp434.49MB
  293. 18 Learn Python Part 2/336 Parameters and Arguments.mp417.68MB
  294. 18 Learn Python Part 2/337 Default Parameters and Keyword Arguments.mp423.48MB
  295. 18 Learn Python Part 2/338 return.mp457.64MB
  296. 18 Learn Python Part 2/340 Methods vs Functions.mp446.29MB
  297. 18 Learn Python Part 2/341 Docstrings.mp415.96MB
  298. 18 Learn Python Part 2/342 Clean Code.mp430.13MB
  299. 18 Learn Python Part 2/343 _args and __kwargs.mp454.12MB
  300. 18 Learn Python Part 2/344 Exercise_ Functions.mp413.5MB
  301. 18 Learn Python Part 2/345 Scope.mp412.6MB
  302. 18 Learn Python Part 2/346 Scope Rules.mp429.73MB
  303. 18 Learn Python Part 2/347 global Keyword.mp433.82MB
  304. 18 Learn Python Part 2/348 nonlocal Keyword.mp414.8MB
  305. 18 Learn Python Part 2/349 Why Do We Need Scope_.mp413.32MB
  306. 18 Learn Python Part 2/350 Pure Functions.mp450.61MB
  307. 18 Learn Python Part 2/351 map().mp434.62MB
  308. 18 Learn Python Part 2/352 filter().mp415.2MB
  309. 18 Learn Python Part 2/353 zip().mp416.21MB
  310. 18 Learn Python Part 2/354 reduce().mp438.95MB
  311. 18 Learn Python Part 2/355 List Comprehensions.mp431.28MB
  312. 18 Learn Python Part 2/356 Set Comprehensions.mp421.81MB
  313. 18 Learn Python Part 2/357 Exercise_ Comprehensions.mp414.83MB
  314. 18 Learn Python Part 2/359 Modules in Python.mp4168.74MB
  315. 18 Learn Python Part 2/361 Optional_ PyCharm.mp465.66MB
  316. 18 Learn Python Part 2/362 Packages in Python.mp4110MB
  317. 18 Learn Python Part 2/363 Different Ways To Import.mp439.43MB
  318. 20 Where To Go From Here_/367 Thank You.mp415.52MB
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