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[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022

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FreeCourseSite com Udemy - Complete Machine Learning & Data Science Bootcamp 2022

文件列表
  1. 01 - Introduction/001 Course Outline.mp477.28MB
  2. 01 - Introduction/004 Your First Day.mp47.27MB
  3. 02 - Machine Learning 101/001 What Is Machine Learning_.mp428.3MB
  4. 02 - Machine Learning 101/002 AI_Machine Learning_Data Science.mp419.66MB
  5. 02 - Machine Learning 101/003 Exercise_ Machine Learning Playground.mp442.57MB
  6. 02 - Machine Learning 101/004 How Did We Get Here_.mp430.5MB
  7. 02 - Machine Learning 101/005 Exercise_ YouTube Recommendation Engine.mp48.89MB
  8. 02 - Machine Learning 101/006 Types of Machine Learning.mp49.63MB
  9. 02 - Machine Learning 101/008 What Is Machine Learning_ Round 2.mp411.85MB
  10. 02 - Machine Learning 101/009 Section Review.mp42.25MB
  11. 03 - Machine Learning and Data Science Framework/001 Section Overview.mp46.34MB
  12. 03 - Machine Learning and Data Science Framework/002 Introducing Our Framework.mp44.2MB
  13. 03 - Machine Learning and Data Science Framework/003 6 Step Machine Learning Framework.mp423.45MB
  14. 03 - Machine Learning and Data Science Framework/004 Types of Machine Learning Problems.mp420.98MB
  15. 03 - Machine Learning and Data Science Framework/005 Types of Data.mp420.01MB
  16. 03 - Machine Learning and Data Science Framework/006 Types of Evaluation.mp46.52MB
  17. 03 - Machine Learning and Data Science Framework/007 Features In Data.mp414.84MB
  18. 03 - Machine Learning and Data Science Framework/008 Modelling - Splitting Data.mp411.3MB
  19. 03 - Machine Learning and Data Science Framework/009 Modelling - Picking the Model.mp48.74MB
  20. 03 - Machine Learning and Data Science Framework/010 Modelling - Tuning.mp415.98MB
  21. 03 - Machine Learning and Data Science Framework/011 Modelling - Comparison.mp418.23MB
  22. 03 - Machine Learning and Data Science Framework/013 Experimentation.mp411.55MB
  23. 03 - Machine Learning and Data Science Framework/014 Tools We Will Use.mp412.91MB
  24. 04 - The 2 Paths/001 The 2 Paths.mp44.26MB
  25. 05 - Data Science Environment Setup/001 Section Overview.mp41.89MB
  26. 05 - Data Science Environment Setup/002 Introducing Our Tools.mp419.27MB
  27. 05 - Data Science Environment Setup/003 What is Conda_.mp412.46MB
  28. 05 - Data Science Environment Setup/004 Conda Environments.mp414.62MB
  29. 05 - Data Science Environment Setup/005 Mac Environment Setup.mp4139.56MB
  30. 05 - Data Science Environment Setup/006 Mac Environment Setup 2.mp4122.18MB
  31. 05 - Data Science Environment Setup/007 Windows Environment Setup.mp432.91MB
  32. 05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4190.92MB
  33. 05 - Data Science Environment Setup/011 Jupyter Notebook Walkthrough.mp456.79MB
  34. 05 - Data Science Environment Setup/012 Jupyter Notebook Walkthrough 2.mp487.64MB
  35. 05 - Data Science Environment Setup/013 Jupyter Notebook Walkthrough 3.mp469.67MB
  36. 06 - Pandas_ Data Analysis/001 Section Overview.mp43.57MB
  37. 06 - Pandas_ Data Analysis/003 Pandas Introduction.mp411.09MB
  38. 06 - Pandas_ Data Analysis/004 Series, Data Frames and CSVs.mp491.09MB
  39. 06 - Pandas_ Data Analysis/006 Describing Data with Pandas.mp451.19MB
  40. 06 - Pandas_ Data Analysis/007 Selecting and Viewing Data with Pandas.mp461.67MB
  41. 06 - Pandas_ Data Analysis/008 Selecting and Viewing Data with Pandas Part 2.mp4103.45MB
  42. 06 - Pandas_ Data Analysis/009 Manipulating Data.mp4100.85MB
  43. 06 - Pandas_ Data Analysis/010 Manipulating Data 2.mp484.31MB
  44. 06 - Pandas_ Data Analysis/011 Manipulating Data 3.mp476.8MB
  45. 06 - Pandas_ Data Analysis/013 How To Download The Course Assignments.mp464.62MB
  46. 07 - NumPy/001 Section Overview.mp48.09MB
  47. 07 - NumPy/002 NumPy Introduction.mp413.63MB
  48. 07 - NumPy/004 NumPy DataTypes and Attributes.mp456.56MB
  49. 07 - NumPy/005 Creating NumPy Arrays.mp456.09MB
  50. 07 - NumPy/006 NumPy Random Seed.mp436.46MB
  51. 07 - NumPy/007 Viewing Arrays and Matrices.mp459.36MB
  52. 07 - NumPy/008 Manipulating Arrays.mp468.48MB
  53. 07 - NumPy/009 Manipulating Arrays 2.mp457.97MB
  54. 07 - NumPy/010 Standard Deviation and Variance.mp436.79MB
  55. 07 - NumPy/011 Reshape and Transpose.mp451.39MB
  56. 07 - NumPy/012 Dot Product vs Element Wise.mp483.66MB
  57. 07 - NumPy/013 Exercise_ Nut Butter Store Sales.mp487.17MB
  58. 07 - NumPy/014 Comparison Operators.mp422.04MB
  59. 07 - NumPy/015 Sorting Arrays.mp424.28MB
  60. 07 - NumPy/016 Turn Images Into NumPy Arrays.mp471.28MB
  61. 08 - Matplotlib_ Plotting and Data Visualization/001 Section Overview.mp42.79MB
  62. 08 - Matplotlib_ Plotting and Data Visualization/002 Matplotlib Introduction.mp420.9MB
  63. 08 - Matplotlib_ Plotting and Data Visualization/003 Importing And Using Matplotlib.mp486.5MB
  64. 08 - Matplotlib_ Plotting and Data Visualization/004 Anatomy Of A Matplotlib Figure.mp453.21MB
  65. 08 - Matplotlib_ Plotting and Data Visualization/005 Scatter Plot And Bar Plot.mp444.6MB
  66. 08 - Matplotlib_ Plotting and Data Visualization/006 Histograms And Subplots.mp457.48MB
  67. 08 - Matplotlib_ Plotting and Data Visualization/007 Subplots Option 2.mp431.24MB
  68. 08 - Matplotlib_ Plotting and Data Visualization/008 Quick Tip_ Data Visualizations.mp44.35MB
  69. 08 - Matplotlib_ Plotting and Data Visualization/009 Plotting From Pandas DataFrames.mp449.46MB
  70. 08 - Matplotlib_ Plotting and Data Visualization/011 Plotting From Pandas DataFrames 2.mp497.29MB
  71. 08 - Matplotlib_ Plotting and Data Visualization/012 Plotting from Pandas DataFrames 3.mp473.38MB
  72. 08 - Matplotlib_ Plotting and Data Visualization/013 Plotting from Pandas DataFrames 4.mp414.32MB
  73. 08 - Matplotlib_ Plotting and Data Visualization/014 Plotting from Pandas DataFrames 5.mp454.39MB
  74. 08 - Matplotlib_ Plotting and Data Visualization/015 Plotting from Pandas DataFrames 6.mp467.47MB
  75. 08 - Matplotlib_ Plotting and Data Visualization/016 Plotting from Pandas DataFrames 7.mp4118.88MB
  76. 08 - Matplotlib_ Plotting and Data Visualization/017 Customizing Your Plots.mp490.98MB
  77. 08 - Matplotlib_ Plotting and Data Visualization/018 Customizing Your Plots 2.mp4123.67MB
  78. 08 - Matplotlib_ Plotting and Data Visualization/019 Saving And Sharing Your Plots.mp449.62MB
  79. 09 - Scikit-learn_ Creating Machine Learning Models/001 Section Overview.mp45.57MB
  80. 09 - Scikit-learn_ Creating Machine Learning Models/002 Scikit-learn Introduction.mp417.17MB
  81. 09 - Scikit-learn_ Creating Machine Learning Models/004 Refresher_ What Is Machine Learning_.mp417.85MB
  82. 09 - Scikit-learn_ Creating Machine Learning Models/006 Scikit-learn Cheatsheet.mp475.12MB
  83. 09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4184.59MB
  84. 09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4171.49MB
  85. 09 - Scikit-learn_ Creating Machine Learning Models/009 Getting Your Data Ready_ Splitting Your Data.mp461.01MB
  86. 09 - Scikit-learn_ Creating Machine Learning Models/010 Quick Tip_ Clean, Transform, Reduce.mp49.74MB
  87. 09 - Scikit-learn_ Creating Machine Learning Models/011 Getting Your Data Ready_ Convert Data To Numbers.mp4130.89MB
  88. 09 - Scikit-learn_ Creating Machine Learning Models/013 Getting Your Data Ready_ Handling Missing Values With Pandas.mp445.56MB
  89. 09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4131.36MB
  90. 09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4234.28MB
  91. 09 - Scikit-learn_ Creating Machine Learning Models/018 NEW_ Choosing The Right Model For Your Data 2 (Regression).mp4128.64MB
  92. 09 - Scikit-learn_ Creating Machine Learning Models/020 Quick Tip_ How ML Algorithms Work.mp42.78MB
  93. 09 - Scikit-learn_ Creating Machine Learning Models/021 Choosing The Right Model For Your Data 3 (Classification).mp4115.87MB
  94. 09 - Scikit-learn_ Creating Machine Learning Models/022 Fitting A Model To The Data.mp438.41MB
  95. 09 - Scikit-learn_ Creating Machine Learning Models/023 Making Predictions With Our Model.mp464.1MB
  96. 09 - Scikit-learn_ Creating Machine Learning Models/024 predict() vs predict_proba().mp439.07MB
  97. 09 - Scikit-learn_ Creating Machine Learning Models/025 NEW_ Making Predictions With Our Model (Regression).mp479.23MB
  98. 09 - Scikit-learn_ Creating Machine Learning Models/026 NEW_ Evaluating A Machine Learning Model (Score) Part 1.mp436.57MB
  99. 09 - Scikit-learn_ Creating Machine Learning Models/027 NEW_ Evaluating A Machine Learning Model (Score) Part 2.mp452.92MB
  100. 09 - Scikit-learn_ Creating Machine Learning Models/028 Evaluating A Machine Learning Model 2 (Cross Validation).mp481.47MB
  101. 09 - Scikit-learn_ Creating Machine Learning Models/029 Evaluating A Classification Model 1 (Accuracy).mp429.87MB
  102. 09 - Scikit-learn_ Creating Machine Learning Models/030 Evaluating A Classification Model 2 (ROC Curve).mp456.34MB
  103. 09 - Scikit-learn_ Creating Machine Learning Models/031 Evaluating A Classification Model 3 (ROC Curve).mp447.72MB
  104. 09 - Scikit-learn_ Creating Machine Learning Models/033 Evaluating A Classification Model 4 (Confusion Matrix).mp477.69MB
  105. 09 - Scikit-learn_ Creating Machine Learning Models/034 NEW_ Evaluating A Classification Model 5 (Confusion Matrix).mp4106.5MB
  106. 09 - Scikit-learn_ Creating Machine Learning Models/035 Evaluating A Classification Model 6 (Classification Report).mp484.95MB
  107. 09 - Scikit-learn_ Creating Machine Learning Models/036 NEW_ Evaluating A Regression Model 1 (R2 Score).mp499.44MB
  108. 09 - Scikit-learn_ Creating Machine Learning Models/037 NEW_ Evaluating A Regression Model 2 (MAE).mp442.9MB
  109. 09 - Scikit-learn_ Creating Machine Learning Models/038 NEW_ Evaluating A Regression Model 3 (MSE).mp458.75MB
  110. 09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4224.91MB
  111. 09 - Scikit-learn_ Creating Machine Learning Models/041 NEW_ Evaluating A Model With Scikit-learn Functions.mp4130.4MB
  112. 09 - Scikit-learn_ Creating Machine Learning Models/042 Improving A Machine Learning Model.mp490.87MB
  113. 09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4167.98MB
  114. 09 - Scikit-learn_ Creating Machine Learning Models/044 Tuning Hyperparameters 2.mp4116.86MB
  115. 09 - Scikit-learn_ Creating Machine Learning Models/045 Tuning Hyperparameters 3.mp4118.13MB
  116. 09 - Scikit-learn_ Creating Machine Learning Models/047 Quick Tip_ Correlation Analysis.mp416.33MB
  117. 09 - Scikit-learn_ Creating Machine Learning Models/048 Saving And Loading A Model.mp450.43MB
  118. 09 - Scikit-learn_ Creating Machine Learning Models/049 Saving And Loading A Model 2.mp447.66MB
  119. 09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4143.21MB
  120. 09 - Scikit-learn_ Creating Machine Learning Models/051 Putting It All Together 2.mp4114.19MB
  121. 11 - Milestone Project 1_ Supervised Learning (Classification)/001 Section Overview.mp43.25MB
  122. 11 - Milestone Project 1_ Supervised Learning (Classification)/002 Project Overview.mp413.67MB
  123. 11 - Milestone Project 1_ Supervised Learning (Classification)/003 Project Environment Setup.mp498.03MB
  124. 11 - Milestone Project 1_ Supervised Learning (Classification)/004 Optional_ Windows Project Environment Setup.mp434.5MB
  125. 11 - Milestone Project 1_ Supervised Learning (Classification)/005 Step 1~4 Framework Setup.mp4102.28MB
  126. 11 - Milestone Project 1_ Supervised Learning (Classification)/006 Getting Our Tools Ready.mp476.81MB
  127. 11 - Milestone Project 1_ Supervised Learning (Classification)/007 Exploring Our Data.mp464.46MB
  128. 11 - Milestone Project 1_ Supervised Learning (Classification)/008 Finding Patterns.mp460.29MB
  129. 11 - Milestone Project 1_ Supervised Learning (Classification)/009 Finding Patterns 2.mp494.32MB
  130. 11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4135.93MB
  131. 11 - Milestone Project 1_ Supervised Learning (Classification)/011 Preparing Our Data For Machine Learning.mp470.41MB
  132. 11 - Milestone Project 1_ Supervised Learning (Classification)/012 Choosing The Right Models.mp496.34MB
  133. 11 - Milestone Project 1_ Supervised Learning (Classification)/013 Experimenting With Machine Learning Models.mp453.94MB
  134. 11 - Milestone Project 1_ Supervised Learning (Classification)/014 Tuning_Improving Our Model.mp4102.85MB
  135. 11 - Milestone Project 1_ Supervised Learning (Classification)/015 Tuning Hyperparameters.mp4106.28MB
  136. 11 - Milestone Project 1_ Supervised Learning (Classification)/016 Tuning Hyperparameters 2.mp4101.73MB
  137. 11 - Milestone Project 1_ Supervised Learning (Classification)/017 Tuning Hyperparameters 3.mp461.5MB
  138. 11 - Milestone Project 1_ Supervised Learning (Classification)/019 Evaluating Our Model.mp468.05MB
  139. 11 - Milestone Project 1_ Supervised Learning (Classification)/020 Evaluating Our Model 2.mp434.64MB
  140. 11 - Milestone Project 1_ Supervised Learning (Classification)/021 Evaluating Our Model 3.mp462.06MB
  141. 11 - Milestone Project 1_ Supervised Learning (Classification)/022 Finding The Most Important Features.mp4123.68MB
  142. 11 - Milestone Project 1_ Supervised Learning (Classification)/023 Reviewing The Project.mp484.78MB
  143. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/001 Section Overview.mp43.67MB
  144. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/002 Project Overview.mp415.85MB
  145. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/004 Project Environment Setup.mp499.11MB
  146. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/005 Step 1~4 Framework Setup.mp484.12MB
  147. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4135.5MB
  148. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/007 Exploring Our Data 2.mp450.7MB
  149. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4157.4MB
  150. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4144.16MB
  151. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/010 Filling Missing Numerical Values.mp4103.42MB
  152. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/011 Filling Missing Categorical Values.mp464.59MB
  153. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/012 Fitting A Machine Learning Model.mp453.52MB
  154. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/013 Splitting Data.mp436.98MB
  155. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/015 Custom Evaluation Function.mp467.5MB
  156. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/016 Reducing Data.mp491.44MB
  157. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/017 RandomizedSearchCV.mp472.09MB
  158. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/018 Improving Hyperparameters.mp477.96MB
  159. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4114.64MB
  160. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/020 Making Predictions.mp477.41MB
  161. 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4140.54MB
  162. 13 - Data Engineering/001 Data Engineering Introduction.mp46.57MB
  163. 13 - Data Engineering/002 What Is Data_.mp415.23MB
  164. 13 - Data Engineering/003 What Is A Data Engineer_.mp49.5MB
  165. 13 - Data Engineering/004 What Is A Data Engineer 2_.mp424.21MB
  166. 13 - Data Engineering/005 What Is A Data Engineer 3_.mp413.14MB
  167. 13 - Data Engineering/006 What Is A Data Engineer 4_.mp47.43MB
  168. 13 - Data Engineering/007 Types Of Databases.mp424.34MB
  169. 13 - Data Engineering/009 Optional_ OLTP Databases.mp468.24MB
  170. 13 - Data Engineering/011 Hadoop, HDFS and MapReduce.mp45.11MB
  171. 13 - Data Engineering/012 Apache Spark and Apache Flink.mp42.63MB
  172. 13 - Data Engineering/013 Kafka and Stream Processing.mp414.36MB
  173. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/001 Section Overview.mp44.33MB
  174. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/002 Deep Learning and Unstructured Data.mp469.83MB
  175. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/004 Setting Up Google Colab.mp473.72MB
  176. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/005 Google Colab Workspace.mp432.23MB
  177. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/006 Uploading Project Data.mp450.16MB
  178. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/007 Setting Up Our Data.mp441.41MB
  179. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/008 Setting Up Our Data 2.mp420.99MB
  180. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/009 Importing TensorFlow 2.mp4114.44MB
  181. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/010 Optional_ TensorFlow 2.0 Default Issue.mp413.98MB
  182. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/011 Using A GPU.mp478.88MB
  183. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/012 Optional_ GPU and Google Colab.mp438.31MB
  184. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/013 Optional_ Reloading Colab Notebook.mp471.87MB
  185. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/014 Loading Our Data Labels.mp4112.36MB
  186. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4132.05MB
  187. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/016 Turning Data Labels Into Numbers.mp4104.97MB
  188. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/017 Creating Our Own Validation Set.mp455.55MB
  189. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/018 Preprocess Images.mp488.09MB
  190. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/019 Preprocess Images 2.mp487.19MB
  191. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/020 Turning Data Into Batches.mp474.59MB
  192. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/021 Turning Data Into Batches 2.mp4126.99MB
  193. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/022 Visualizing Our Data.mp4120.06MB
  194. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/023 Preparing Our Inputs and Outputs.mp447.96MB
  195. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/025 Building A Deep Learning Model.mp4120.15MB
  196. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/026 Building A Deep Learning Model 2.mp488.6MB
  197. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/027 Building A Deep Learning Model 3.mp4105.42MB
  198. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/028 Building A Deep Learning Model 4.mp472MB
  199. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/029 Summarizing Our Model.mp444.38MB
  200. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/030 Evaluating Our Model.mp467.15MB
  201. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/031 Preventing Overfitting.mp435.27MB
  202. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4163.09MB
  203. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/033 Evaluating Performance With TensorBoard.mp473.3MB
  204. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4153.74MB
  205. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/035 Transform Predictions To Text.mp4126.28MB
  206. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/036 Visualizing Model Predictions.mp4115.65MB
  207. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4140.3MB
  208. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/038 Visualizing And Evaluate Model Predictions 3.mp4112.53MB
  209. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/039 Saving And Loading A Trained Model.mp4124.82MB
  210. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp448.58MB
  211. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/041 Making Predictions On Test Images.mp4120.06MB
  212. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/042 Submitting Model to Kaggle.mp4101.92MB
  213. 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/043 Making Predictions On Our Images.mp4119.42MB
  214. 15 - Storytelling + Communication_ How To Present Your Work/001 Section Overview.mp43.41MB
  215. 15 - Storytelling + Communication_ How To Present Your Work/002 Communicating Your Work.mp48.41MB
  216. 15 - Storytelling + Communication_ How To Present Your Work/003 Communicating With Managers.mp46.67MB
  217. 15 - Storytelling + Communication_ How To Present Your Work/004 Communicating With Co-Workers.mp47.34MB
  218. 15 - Storytelling + Communication_ How To Present Your Work/005 Weekend Project Principle.mp410.31MB
  219. 15 - Storytelling + Communication_ How To Present Your Work/006 Communicating With Outside World.mp46.29MB
  220. 15 - Storytelling + Communication_ How To Present Your Work/007 Storytelling.mp44.86MB
  221. 16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4147.35MB
  222. 16 - Career Advice + Extra Bits/006 JTS_ Learn to Learn.mp42.65MB
  223. 16 - Career Advice + Extra Bits/007 JTS_ Start With Why.mp47.45MB
  224. 16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4176.27MB
  225. 16 - Career Advice + Extra Bits/010 CWD_ Git + Github 2.mp4102.62MB
  226. 16 - Career Advice + Extra Bits/011 Contributing To Open Source.mp4109.38MB
  227. 16 - Career Advice + Extra Bits/012 Contributing To Open Source 2.mp4112.99MB
  228. 17 - Learn Python/001 What Is A Programming Language.mp418.83MB
  229. 17 - Learn Python/002 Python Interpreter.mp468.54MB
  230. 17 - Learn Python/003 How To Run Python Code.mp436.42MB
  231. 17 - Learn Python/004 Our First Python Program.mp429.85MB
  232. 17 - Learn Python/005 Latest Version Of Python.mp46.99MB
  233. 17 - Learn Python/006 Python 2 vs Python 3.mp465.78MB
  234. 17 - Learn Python/007 Exercise_ How Does Python Work_.mp49.34MB
  235. 17 - Learn Python/008 Learning Python.mp46.56MB
  236. 17 - Learn Python/009 Python Data Types.mp411.93MB
  237. 17 - Learn Python/011 Numbers.mp455.05MB
  238. 17 - Learn Python/012 Math Functions.mp425.91MB
  239. 17 - Learn Python/013 DEVELOPER FUNDAMENTALS_ I.mp447.71MB
  240. 17 - Learn Python/014 Operator Precedence.mp45.78MB
  241. 17 - Learn Python/016 Optional_ bin() and complex.mp410.65MB
  242. 17 - Learn Python/017 Variables.mp456.86MB
  243. 17 - Learn Python/018 Expressions vs Statements.mp43.16MB
  244. 17 - Learn Python/019 Augmented Assignment Operator.mp45.65MB
  245. 17 - Learn Python/020 Strings.mp411.19MB
  246. 17 - Learn Python/021 String Concatenation.mp42.16MB
  247. 17 - Learn Python/022 Type Conversion.mp414.59MB
  248. 17 - Learn Python/023 Escape Sequences.mp48.68MB
  249. 17 - Learn Python/024 Formatted Strings.mp421.81MB
  250. 17 - Learn Python/025 String Indexes.mp417.42MB
  251. 17 - Learn Python/026 Immutability.mp48.19MB
  252. 17 - Learn Python/027 Built-In Functions + Methods.mp444.06MB
  253. 17 - Learn Python/028 Booleans.mp47.45MB
  254. 17 - Learn Python/029 Exercise_ Type Conversion.mp421.77MB
  255. 17 - Learn Python/030 DEVELOPER FUNDAMENTALS_ II.mp418.68MB
  256. 17 - Learn Python/031 Exercise_ Password Checker.mp421.26MB
  257. 17 - Learn Python/032 Lists.mp48.9MB
  258. 17 - Learn Python/033 List Slicing.mp417.54MB
  259. 17 - Learn Python/034 Matrix.mp48.72MB
  260. 17 - Learn Python/035 List Methods.mp440.19MB
  261. 17 - Learn Python/036 List Methods 2.mp417.62MB
  262. 17 - Learn Python/037 List Methods 3.mp424.46MB
  263. 17 - Learn Python/038 Common List Patterns.mp416.81MB
  264. 17 - Learn Python/039 List Unpacking.mp46.19MB
  265. 17 - Learn Python/040 None.mp43.08MB
  266. 17 - Learn Python/041 Dictionaries.mp412.49MB
  267. 17 - Learn Python/042 DEVELOPER FUNDAMENTALS_ III.mp48.66MB
  268. 17 - Learn Python/043 Dictionary Keys.mp47.88MB
  269. 17 - Learn Python/044 Dictionary Methods.mp410.08MB
  270. 17 - Learn Python/045 Dictionary Methods 2.mp428.2MB
  271. 17 - Learn Python/046 Tuples.mp49.99MB
  272. 17 - Learn Python/047 Tuples 2.mp46.25MB
  273. 17 - Learn Python/048 Sets.mp424.27MB
  274. 17 - Learn Python/049 Sets 2.mp452.43MB
  275. 18 - Learn Python Part 2/001 Breaking The Flow.mp47.4MB
  276. 18 - Learn Python Part 2/002 Conditional Logic.mp456.54MB
  277. 18 - Learn Python Part 2/003 Indentation In Python.mp411.31MB
  278. 18 - Learn Python Part 2/004 Truthy vs Falsey.mp436.35MB
  279. 18 - Learn Python Part 2/005 Ternary Operator.mp48.32MB
  280. 18 - Learn Python Part 2/006 Short Circuiting.mp48.15MB
  281. 18 - Learn Python Part 2/007 Logical Operators.mp414.6MB
  282. 18 - Learn Python Part 2/008 Exercise_ Logical Operators.mp419.03MB
  283. 18 - Learn Python Part 2/009 is vs ==.mp415.08MB
  284. 18 - Learn Python Part 2/010 For Loops.mp416.43MB
  285. 18 - Learn Python Part 2/011 Iterables.mp423.53MB
  286. 18 - Learn Python Part 2/012 Exercise_ Tricky Counter.mp45.52MB
  287. 18 - Learn Python Part 2/013 range().mp420.78MB
  288. 18 - Learn Python Part 2/014 enumerate().mp49.4MB
  289. 18 - Learn Python Part 2/015 While Loops.mp413.94MB
  290. 18 - Learn Python Part 2/016 While Loops 2.mp411.48MB
  291. 18 - Learn Python Part 2/017 break, continue, pass.mp49.25MB
  292. 18 - Learn Python Part 2/018 Our First GUI.mp446.05MB
  293. 18 - Learn Python Part 2/019 DEVELOPER FUNDAMENTALS_ IV.mp424.71MB
  294. 18 - Learn Python Part 2/020 Exercise_ Find Duplicates.mp48.5MB
  295. 18 - Learn Python Part 2/021 Functions.mp421.27MB
  296. 18 - Learn Python Part 2/022 Parameters and Arguments.mp49.32MB
  297. 18 - Learn Python Part 2/023 Default Parameters and Keyword Arguments.mp418.12MB
  298. 18 - Learn Python Part 2/024 return.mp436.79MB
  299. 18 - Learn Python Part 2/026 Methods vs Functions.mp426.33MB
  300. 18 - Learn Python Part 2/027 Docstrings.mp410.25MB
  301. 18 - Learn Python Part 2/028 Clean Code.mp417.58MB
  302. 18 - Learn Python Part 2/029 _args and __kwargs.mp432.78MB
  303. 18 - Learn Python Part 2/030 Exercise_ Functions.mp410.66MB
  304. 18 - Learn Python Part 2/031 Scope.mp48.1MB
  305. 18 - Learn Python Part 2/032 Scope Rules.mp418.9MB
  306. 18 - Learn Python Part 2/033 global Keyword.mp421.37MB
  307. 18 - Learn Python Part 2/034 nonlocal Keyword.mp49.34MB
  308. 18 - Learn Python Part 2/035 Why Do We Need Scope_.mp48.65MB
  309. 18 - Learn Python Part 2/036 Pure Functions.mp430.01MB
  310. 18 - Learn Python Part 2/037 map().mp433.47MB
  311. 18 - Learn Python Part 2/038 filter().mp49.92MB
  312. 18 - Learn Python Part 2/039 zip().mp410.18MB
  313. 18 - Learn Python Part 2/040 reduce().mp423.79MB
  314. 18 - Learn Python Part 2/041 List Comprehensions.mp424.3MB
  315. 18 - Learn Python Part 2/042 Set Comprehensions.mp417.07MB
  316. 18 - Learn Python Part 2/043 Exercise_ Comprehensions.mp49.65MB
  317. 18 - Learn Python Part 2/045 Modules in Python.mp478.1MB
  318. 18 - Learn Python Part 2/047 Optional_ PyCharm.mp425.36MB
  319. 18 - Learn Python Part 2/048 Packages in Python.mp461.84MB
  320. 18 - Learn Python Part 2/049 Different Ways To Import.mp423.95MB
  321. 20 - Where To Go From Here_/002 Thank You.mp44.5MB
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