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  1. 01. Introduction to the Course/01. What is Machine Learning.mp4 45.3 MB
  2. 01. Introduction to the Course/01. What is Machine Learning.srt 6.9 KB
  3. 01. Introduction to the Course/02. What is Data Science.mp4 42.9 MB
  4. 01. Introduction to the Course/02. What is Data Science.srt 5.7 KB
  5. 01. Introduction to the Course/03. Download the Syllabus.html 1.0 KB
  6. 01. Introduction to the Course/03.1 ML Data Science Syllabus.pdf 104.0 KB
  7. 01. Introduction to the Course/04. Top Tips for Succeeding on this Course.html 2.1 KB
  8. 01. Introduction to the Course/04.1 App Brewery Cornell Notes Template.html 141 bytes
  9. 01. Introduction to the Course/05. Course Resources List.html 1.1 KB
  10. 02. Predict Movie Box Office Revenue with Linear Regression/01. Introduction to Linear Regression & Specifying the Problem.mp4 30.3 MB
  11. 02. Predict Movie Box Office Revenue with Linear Regression/01. Introduction to Linear Regression & Specifying the Problem.srt 8.7 KB
  12. 02. Predict Movie Box Office Revenue with Linear Regression/01.1 Course Resources.html 122 bytes
  13. 02. Predict Movie Box Office Revenue with Linear Regression/02. Gather & Clean the Data.mp4 97.0 MB
  14. 02. Predict Movie Box Office Revenue with Linear Regression/02. Gather & Clean the Data.srt 13.9 KB
  15. 02. Predict Movie Box Office Revenue with Linear Regression/02.1 The-Numbers Movie Budgets.html 102 bytes
  16. 02. Predict Movie Box Office Revenue with Linear Regression/02.2 cost_revenue_dirty.csv 374.7 KB
  17. 02. Predict Movie Box Office Revenue with Linear Regression/03. Explore & Visualise the Data with Python.mp4 148.1 MB
  18. 02. Predict Movie Box Office Revenue with Linear Regression/03. Explore & Visualise the Data with Python.srt 31.0 KB
  19. 02. Predict Movie Box Office Revenue with Linear Regression/03.1 Try Jupyter in your Browser.html 85 bytes
  20. 02. Predict Movie Box Office Revenue with Linear Regression/03.2 cost_revenue_clean.csv 90.8 KB
  21. 02. Predict Movie Box Office Revenue with Linear Regression/04. The Intuition behind the Linear Regression Model.mp4 29.6 MB
  22. 02. Predict Movie Box Office Revenue with Linear Regression/04. The Intuition behind the Linear Regression Model.srt 10.8 KB
  23. 02. Predict Movie Box Office Revenue with Linear Regression/04.1 01 Linear Regression (checkpoint).ipynb.zip 37.6 KB
  24. 02. Predict Movie Box Office Revenue with Linear Regression/05. Analyse and Evaluate the Results.mp4 105.2 MB
  25. 02. Predict Movie Box Office Revenue with Linear Regression/05. Analyse and Evaluate the Results.srt 22.4 KB
  26. 02. Predict Movie Box Office Revenue with Linear Regression/06. Download the Complete Notebook Here.html 242 bytes
  27. 02. Predict Movie Box Office Revenue with Linear Regression/06.1 01 Linear Regression (complete).ipynb.zip 75.3 KB
  28. 02. Predict Movie Box Office Revenue with Linear Regression/07. Join the Student Community.html 730 bytes
  29. 02. Predict Movie Box Office Revenue with Linear Regression/08. Any Feedback on this Section.html 512 bytes
  30. 03. Python Programming for Data Science and Machine Learning/01. Windows Users - Install Anaconda.mp4 49.6 MB
  31. 03. Python Programming for Data Science and Machine Learning/01. Windows Users - Install Anaconda.srt 8.8 KB
  32. 03. Python Programming for Data Science and Machine Learning/01.1 Course Resources.html 122 bytes
  33. 03. Python Programming for Data Science and Machine Learning/02. Mac Users - Install Anaconda.mp4 52.4 MB
  34. 03. Python Programming for Data Science and Machine Learning/02. Mac Users - Install Anaconda.srt 8.0 KB
  35. 03. Python Programming for Data Science and Machine Learning/02.1 Course Resources.html 122 bytes
  36. 03. Python Programming for Data Science and Machine Learning/03. Does LSD Make You Better at Maths.mp4 42.2 MB
  37. 03. Python Programming for Data Science and Machine Learning/03. Does LSD Make You Better at Maths.srt 7.3 KB
  38. 03. Python Programming for Data Science and Machine Learning/04. Download the 12 Rules to Learn to Code.html 1.1 KB
  39. 03. Python Programming for Data Science and Machine Learning/04.1 12 Rules to Learn to Code.pdf 2.2 MB
  40. 03. Python Programming for Data Science and Machine Learning/05. [Python] - Variables and Types.mp4 71.4 MB
  41. 03. Python Programming for Data Science and Machine Learning/05. [Python] - Variables and Types.srt 16.5 KB
  42. 03. Python Programming for Data Science and Machine Learning/06. Python Variable Coding Exercise.html 156 bytes
  43. 03. Python Programming for Data Science and Machine Learning/07. [Python] - Lists and Arrays.mp4 53.5 MB
  44. 03. Python Programming for Data Science and Machine Learning/07. [Python] - Lists and Arrays.srt 12.2 KB
  45. 03. Python Programming for Data Science and Machine Learning/08. Python Lists Coding Exercise.html 156 bytes
  46. 03. Python Programming for Data Science and Machine Learning/09. [Python & Pandas] - Dataframes and Series.mp4 153.2 MB
  47. 03. Python Programming for Data Science and Machine Learning/09. [Python & Pandas] - Dataframes and Series.srt 28.1 KB
  48. 03. Python Programming for Data Science and Machine Learning/09.1 lsd_math_score_data.csv 155 bytes
  49. 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 232.1 MB
  50. 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.srt 36.1 KB
  51. 03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.mp4 41.6 MB
  52. 03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.srt 10.5 KB
  53. 03. Python Programming for Data Science and Machine Learning/12. Python Functions Coding Exercise - Part 1.html 156 bytes
  54. 03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.mp4 128.2 MB
  55. 03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.srt 20.8 KB
  56. 03. Python Programming for Data Science and Machine Learning/14. Python Functions Coding Exercise - Part 2.html 156 bytes
  57. 03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.mp4 82.6 MB
  58. 03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.srt 16.5 KB
  59. 03. Python Programming for Data Science and Machine Learning/16. Python Functions Coding Exercise - Part 3.html 156 bytes
  60. 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 156.8 MB
  61. 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.srt 29.9 KB
  62. 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 171.5 MB
  63. 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.srt 26.5 KB
  64. 03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4 170.0 MB
  65. 03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.srt 27.3 KB
  66. 03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.mp4 81.5 MB
  67. 03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.srt 16.7 KB
  68. 03. Python Programming for Data Science and Machine Learning/21. Download the Complete Notebook Here.html 242 bytes
  69. 03. Python Programming for Data Science and Machine Learning/21.1 02 Python Intro.ipynb.zip 36.4 KB
  70. 03. Python Programming for Data Science and Machine Learning/22. Any Feedback on this Section.html 513 bytes
  71. 03. Python Programming for Data Science and Machine Learning/GetFreeCourses.Co.url 116 bytes
  72. 03. Python Programming for Data Science and Machine Learning/How you can help GetFreeCourses.Co.txt 182 bytes
  73. 04. Introduction to Optimisation and the Gradient Descent Algorithm/01. What's Coming Up.mp4 20.9 MB
  74. 04. Introduction to Optimisation and the Gradient Descent Algorithm/01. What's Coming Up.srt 3.8 KB
  75. 04. Introduction to Optimisation and the Gradient Descent Algorithm/01.1 Course Resources.html 122 bytes
  76. 04. Introduction to Optimisation and the Gradient Descent Algorithm/02. How a Machine Learns.mp4 22.8 MB
  77. 04. Introduction to Optimisation and the Gradient Descent Algorithm/02. How a Machine Learns.srt 7.2 KB
  78. 04. Introduction to Optimisation and the Gradient Descent Algorithm/03. Introduction to Cost Functions.mp4 66.2 MB
  79. 04. Introduction to Optimisation and the Gradient Descent Algorithm/03. Introduction to Cost Functions.srt 9.5 KB
  80. 04. Introduction to Optimisation and the Gradient Descent Algorithm/04. LaTeX Markdown and Generating Data with Numpy.mp4 90.5 MB
  81. 04. Introduction to Optimisation and the Gradient Descent Algorithm/04. LaTeX Markdown and Generating Data with Numpy.srt 17.3 KB
  82. 04. Introduction to Optimisation and the Gradient Descent Algorithm/05. Understanding the Power Rule & Creating Charts with Subplots.mp4 90.2 MB
  83. 04. Introduction to Optimisation and the Gradient Descent Algorithm/05. Understanding the Power Rule & Creating Charts with Subplots.srt 18.1 KB
  84. 04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 287.5 MB
  85. 04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.srt 44.0 KB
  86. 04. Introduction to Optimisation and the Gradient Descent Algorithm/07. Python Loops Coding Exercise.html 156 bytes
  87. 04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 291.3 MB
  88. 04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).srt 43.0 KB
  89. 04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 219.0 MB
  90. 04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).srt 33.5 KB
  91. 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 236.6 MB
  92. 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.srt 37.7 KB
  93. 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 193.5 MB
  94. 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.srt 26.1 KB
  95. 04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.mp4 132.8 MB
  96. 04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.srt 20.2 KB
  97. 04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.mp4 86.8 MB
  98. 04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.srt 12.9 KB
  99. 04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.mp4 131.1 MB
  100. 04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.srt 18.1 KB
  101. 04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.mp4 140.8 MB
  102. 04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.srt 23.0 KB
  103. 04. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.mp4 71.3 MB
  104. 04. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.srt 8.9 KB
  105. 04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).mp4 64.6 MB
  106. 04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).srt 12.6 KB
  107. 04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.mp4 86.9 MB
  108. 04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.srt 13.5 KB
  109. 04. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.mp4 81.1 MB
  110. 04. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.srt 13.6 KB
  111. 04. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4 73.2 MB
  112. 04. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).srt 13.9 KB
  113. 04. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4 124.9 MB
  114. 04. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).srt 17.4 KB
  115. 04. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.mp4 111.2 MB
  116. 04. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.srt 22.3 KB
  117. 04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.mp4 74.8 MB
  118. 04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.srt 10.7 KB
  119. 04. Introduction to Optimisation and the Gradient Descent Algorithm/24. Download the Complete Notebook Here.html 242 bytes
  120. 04. Introduction to Optimisation and the Gradient Descent Algorithm/24.1 03 Gradient Descent.ipynb.zip 1.1 MB
  121. 04. Introduction to Optimisation and the Gradient Descent Algorithm/25. Any Feedback on this Section.html 520 bytes
  122. 05. Predict House Prices with Multivariable Linear Regression/01. Defining the Problem.mp4 39.9 MB
  123. 05. Predict House Prices with Multivariable Linear Regression/01. Defining the Problem.srt 6.5 KB
  124. 05. Predict House Prices with Multivariable Linear Regression/01.1 Course Resources.html 122 bytes
  125. 05. Predict House Prices with Multivariable Linear Regression/02. Gathering the Boston House Price Data.mp4 56.2 MB
  126. 05. Predict House Prices with Multivariable Linear Regression/02. Gathering the Boston House Price Data.srt 8.7 KB
  127. 05. Predict House Prices with Multivariable Linear Regression/03. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4 87.1 MB
  128. 05. Predict House Prices with Multivariable Linear Regression/03. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.srt 15.6 KB
  129. 05. Predict House Prices with Multivariable Linear Regression/04. Clean and Explore the Data (Part 2) Find Missing Values.mp4 135.0 MB
  130. 05. Predict House Prices with Multivariable Linear Regression/04. Clean and Explore the Data (Part 2) Find Missing Values.srt 18.6 KB
  131. 05. Predict House Prices with Multivariable Linear Regression/05. Visualising Data (Part 1) Historams, Distributions & Outliers.mp4 64.5 MB
  132. 05. Predict House Prices with Multivariable Linear Regression/05. Visualising Data (Part 1) Historams, Distributions & Outliers.srt 14.2 KB
  133. 05. Predict House Prices with Multivariable Linear Regression/06. Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4 57.3 MB
  134. 05. Predict House Prices with Multivariable Linear Regression/06. Visualising Data (Part 2) Seaborn and Probability Density Functions.srt 9.0 KB
  135. 05. Predict House Prices with Multivariable Linear Regression/07. Working with Index Data, Pandas Series, and Dummy Variables.mp4 140.8 MB
  136. 05. Predict House Prices with Multivariable Linear Regression/07. Working with Index Data, Pandas Series, and Dummy Variables.srt 20.7 KB
  137. 05. Predict House Prices with Multivariable Linear Regression/08. Understanding Descriptive Statistics the Mean vs the Median.mp4 62.2 MB
  138. 05. Predict House Prices with Multivariable Linear Regression/08. Understanding Descriptive Statistics the Mean vs the Median.srt 12.1 KB
  139. 05. Predict House Prices with Multivariable Linear Regression/09. Introduction to Correlation Understanding Strength & Direction.mp4 33.1 MB
  140. 05. Predict House Prices with Multivariable Linear Regression/09. Introduction to Correlation Understanding Strength & Direction.srt 8.4 KB
  141. 05. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.mp4 111.4 MB
  142. 05. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.srt 17.8 KB
  143. 05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 168.6 MB
  144. 05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.srt 24.4 KB
  145. 05. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.mp4 128.5 MB
  146. 05. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.srt 20.6 KB
  147. 05. Predict House Prices with Multivariable Linear Regression/13. A Note for the Next Lesson.html 476 bytes
  148. 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 214.4 MB
  149. 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.srt 28.7 KB
  150. 05. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.mp4 48.8 MB
  151. 05. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.srt 7.5 KB
  152. 05. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.mp4 64.3 MB
  153. 05. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.srt 11.5 KB
  154. 05. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.mp4 55.6 MB
  155. 05. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.srt 9.8 KB
  156. 05. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.mp4 32.4 MB
  157. 05. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.srt 4.4 KB
  158. 05. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.mp4 16.0 MB
  159. 05. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.srt 3.8 KB
  160. 05. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.mp4 126.9 MB
  161. 05. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.srt 21.6 KB
  162. 05. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.mp4 65.4 MB
  163. 05. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.srt 10.8 KB
  164. 05. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.mp4 143.8 MB
  165. 05. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.srt 25.6 KB
  166. 05. Predict House Prices with Multivariable Linear Regression/23. Model Simplification & Baysian Information Criterion.mp4 150.1 MB
  167. 05. Predict House Prices with Multivariable Linear Regression/23. Model Simplification & Baysian Information Criterion.srt 23.1 KB
  168. 05. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.mp4 64.2 MB
  169. 05. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.srt 14.8 KB
  170. 05. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.mp4 124.4 MB
  171. 05. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.srt 18.2 KB
  172. 05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 153.0 MB
  173. 05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.srt 22.8 KB
  174. 05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4 152.7 MB
  175. 05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.srt 23.7 KB
  176. 05. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4 84.8 MB
  177. 05. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.srt 14.8 KB
  178. 05. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4 131.3 MB
  179. 05. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.srt 20.8 KB
  180. 05. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4 134.4 MB
  181. 05. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).srt 21.4 KB
  182. 05. Predict House Prices with Multivariable Linear Regression/31. Python Conditional Statement Coding Exercise.html 156 bytes
  183. 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 244.2 MB
  184. 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.srt 28.4 KB
  185. 05. Predict House Prices with Multivariable Linear Regression/33. Download the Complete Notebook Here.html 242 bytes
  186. 05. Predict House Prices with Multivariable Linear Regression/33.1 04 Multivariable Regression.ipynb.zip 3.5 MB
  187. 05. Predict House Prices with Multivariable Linear Regression/33.2 04 Valuation Tool.ipynb.zip 2.9 KB
  188. 05. Predict House Prices with Multivariable Linear Regression/33.3 boston_valuation.py 3.1 KB
  189. 05. Predict House Prices with Multivariable Linear Regression/34. Any Feedback on this Section.html 512 bytes
  190. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01. How to Translate a Business Problem into a Machine Learning Problem.mp4 42.3 MB
  191. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01. How to Translate a Business Problem into a Machine Learning Problem.srt 9.7 KB
  192. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01.1 Course Resources.html 122 bytes
  193. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02. Gathering Email Data and Working with Archives & Text Editors.mp4 112.1 MB
  194. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02. Gathering Email Data and Working with Archives & Text Editors.srt 14.1 KB
  195. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02.1 SpamData.zip 21.3 MB
  196. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/03. How to Add the Lesson Resources to the Project.mp4 28.9 MB
  197. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/03. How to Add the Lesson Resources to the Project.srt 5.0 KB
  198. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/04. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4 33.4 MB
  199. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/04. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.srt 6.1 KB
  200. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/05. Basic Probability.mp4 28.5 MB
  201. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/05. Basic Probability.srt 5.3 KB
  202. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/06. Joint & Conditional Probability.mp4 141.8 MB
  203. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/06. Joint & Conditional Probability.srt 19.9 KB
  204. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/07. Bayes Theorem.mp4 83.6 MB
  205. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/07. Bayes Theorem.srt 15.2 KB
  206. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/08. Reading Files (Part 1) Absolute Paths and Relative Paths.mp4 60.9 MB
  207. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/08. Reading Files (Part 1) Absolute Paths and Relative Paths.srt 11.7 KB
  208. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/09. Reading Files (Part 2) Stream Objects and Email Structure.mp4 104.3 MB
  209. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/09. Reading Files (Part 2) Stream Objects and Email Structure.srt 14.6 KB
  210. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.mp4 47.4 MB
  211. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.srt 6.0 KB
  212. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.mp4 133.2 MB
  213. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.srt 22.3 KB
  214. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.mp4 48.7 MB
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  216. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4 121.9 MB
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  220. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.mp4 56.4 MB
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  222. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.mp4 90.7 MB
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  224. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.mp4 61.8 MB
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  226. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).mp4 50.8 MB
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  228. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/19. Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4 117.8 MB
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  230. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/20. Word Stemming & Removing Punctuation.mp4 71.4 MB
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  232. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/21. Removing HTML tags with BeautifulSoup.mp4 95.8 MB
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  234. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/22. Creating a Function for Text Processing.mp4 53.9 MB
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  236. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/23. A Note for the Next Lesson.html 476 bytes
  237. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.mp4 83.4 MB
  238. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.srt 13.5 KB
  239. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/25. [Python] - Logical Operators to Create Subsets and Indices.mp4 86.4 MB
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  241. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/26. Word Clouds & How to install Additional Python Packages.mp4 79.5 MB
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  243. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/27. Creating your First Word Cloud.mp4 98.4 MB
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  245. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/28. Styling the Word Cloud with a Mask.mp4 131.4 MB
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  247. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/29. Solving the Hamlet Challenge.mp4 57.1 MB
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  249. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/30. Styling Word Clouds with Custom Fonts.mp4 127.3 MB
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  251. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/31. Create the Vocabulary for the Spam Classifier.mp4 107.0 MB
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  253. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/32. Coding Challenge Check for Membership in a Collection.mp4 32.3 MB
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  255. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/33. Coding Challenge Find the Longest Email.mp4 54.5 MB
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  257. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/34. Sparse Matrix (Part 1) Split the Training and Testing Data.mp4 87.6 MB
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  259. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/35. Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4 137.2 MB
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  261. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4 80.5 MB
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  263. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/37. Coding Challenge Solution Preparing the Test Data.mp4 28.9 MB
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  265. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.mp4 96.4 MB
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  267. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39. Download the Complete Notebook Here.html 242 bytes
  268. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39.1 06 Bayes Classifier - Pre-Processing.ipynb.zip 978.0 KB
  269. 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/40. Any Feedback on this Section.html 519 bytes
  270. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01. Setting up the Notebook and Understanding Delimiters in a Dataset.mp4 72.5 MB
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  272. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01.1 Course Resources.html 122 bytes
  273. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01.2 SpamData.zip 22.3 MB
  274. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/02. Create a Full Matrix.mp4 132.2 MB
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  276. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/03. Count the Tokens to Train the Naive Bayes Model.mp4 96.2 MB
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  278. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/04. Sum the Tokens across the Spam and Ham Subsets.mp4 46.7 MB
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  280. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/05. Calculate the Token Probabilities and Save the Trained Model.mp4 53.5 MB
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  282. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/06. Coding Challenge Prepare the Test Data.mp4 35.6 MB
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  284. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/07. Download the Complete Notebook Here.html 242 bytes
  285. 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/07.1 07 Bayes Classifier - Training.ipynb.zip 5.8 KB
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  287. 08. Test and Evaluate a Naive Bayes Classifier Part 3/01. Set up the Testing Notebook.mp4 26.4 MB
  288. 08. Test and Evaluate a Naive Bayes Classifier Part 3/01. Set up the Testing Notebook.srt 3.8 KB
  289. 08. Test and Evaluate a Naive Bayes Classifier Part 3/01.1 SpamData.zip 22.8 MB
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  291. 08. Test and Evaluate a Naive Bayes Classifier Part 3/02. Joint Conditional Probability (Part 1) Dot Product.mp4 66.4 MB
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  295. 08. Test and Evaluate a Naive Bayes Classifier Part 3/04. Making Predictions Comparing Joint Probabilities.mp4 52.3 MB
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  297. 08. Test and Evaluate a Naive Bayes Classifier Part 3/05. The Accuracy Metric.mp4 40.5 MB
  298. 08. Test and Evaluate a Naive Bayes Classifier Part 3/05. The Accuracy Metric.srt 7.7 KB
  299. 08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 205.3 MB
  300. 08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.srt 33.4 KB
  301. 08. Test and Evaluate a Naive Bayes Classifier Part 3/07. False Positive vs False Negatives.mp4 63.3 MB
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  303. 08. Test and Evaluate a Naive Bayes Classifier Part 3/08. The Recall Metric.mp4 28.1 MB
  304. 08. Test and Evaluate a Naive Bayes Classifier Part 3/08. The Recall Metric.srt 6.5 KB
  305. 08. Test and Evaluate a Naive Bayes Classifier Part 3/09. The Precision Metric.mp4 53.3 MB
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  307. 08. Test and Evaluate a Naive Bayes Classifier Part 3/10. The F-score or F1 Metric.mp4 24.7 MB
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  309. 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 195.1 MB
  310. 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.srt 33.7 KB
  311. 08. Test and Evaluate a Naive Bayes Classifier Part 3/12. Download the Complete Notebook Here.html 242 bytes
  312. 08. Test and Evaluate a Naive Bayes Classifier Part 3/12.1 08 Naive Bayes with scikit-learn.ipynb.zip 13.3 KB
  313. 08. Test and Evaluate a Naive Bayes Classifier Part 3/12.2 07 Bayes Classifier - Testing, Inference & Evaluation.ipynb.zip 243.1 KB
  314. 08. Test and Evaluate a Naive Bayes Classifier Part 3/13. Any Feedback on this Section.html 509 bytes
  315. 08. Test and Evaluate a Naive Bayes Classifier Part 3/GetFreeCourses.Co.url 116 bytes
  316. 08. Test and Evaluate a Naive Bayes Classifier Part 3/How you can help GetFreeCourses.Co.txt 182 bytes
  317. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/01. The Human Brain and the Inspiration for Artificial Neural Networks.mp4 51.8 MB
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  320. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/02. Layers, Feature Generation and Learning.mp4 146.7 MB
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  324. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/04. Preprocessing Image Data and How RGB Works.mp4 93.6 MB
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  327. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/05. Importing Keras Models and the Tensorflow Graph.mp4 65.5 MB
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  329. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/06. Making Predictions using InceptionResNet.mp4 134.6 MB
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  331. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/07. Coding Challenge Solution Using other Keras Models.mp4 103.5 MB
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  333. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/08. Download the Complete Notebook Here.html 264 bytes
  334. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/08.1 09 Neural Nets Pretrained Image Classification.ipynb.zip 571.8 KB
  335. 09. Introduction to Neural Networks and How to Use Pre-Trained Models/09. Any Feedback on this Section.html 526 bytes
  336. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/01. Solving a Business Problem with Image Classification.mp4 30.5 MB
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  339. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/02. Installing Tensorflow and Keras for Jupyter.mp4 42.1 MB
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  341. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/03. Gathering the CIFAR 10 Dataset.mp4 31.4 MB
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  349. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/07. Interacting with the Operating System and the Python Try-Catch Block.mp4 133.4 MB
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  351. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/08. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4 100.4 MB
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  353. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 191.5 MB
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  361. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13. Download the Complete Notebook Here.html 242 bytes
  362. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13.1 10 Neural Nets - Keras CIFAR10 Classification.ipynb.zip 120.1 KB
  363. 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/14. Any Feedback on this Section.html 521 bytes
  364. 11. Use Tensorflow to Classify Handwritten Digits/01. What's coming up.mp4 7.1 MB
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  367. 11. Use Tensorflow to Classify Handwritten Digits/02. Getting the Data and Loading it into Numpy Arrays.mp4 52.8 MB
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  370. 11. Use Tensorflow to Classify Handwritten Digits/03. Data Exploration and Understanding the Structure of the Input Data.mp4 32.4 MB
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  372. 11. Use Tensorflow to Classify Handwritten Digits/04. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4 70.2 MB
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  374. 11. Use Tensorflow to Classify Handwritten Digits/05. What is a Tensor.mp4 45.4 MB
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  378. 11. Use Tensorflow to Classify Handwritten Digits/07. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4 75.1 MB
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  384. 11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.mp4 115.8 MB
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  388. 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 213.7 MB
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  390. 11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.mp4 110.7 MB
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  392. 11. Use Tensorflow to Classify Handwritten Digits/14. Download the Complete Notebook Here.html 242 bytes
  393. 11. Use Tensorflow to Classify Handwritten Digits/14.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip 6.6 KB
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  395. 12. Serving a Tensorflow Model through a Website/01. What you'll make.mp4 38.4 MB
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  403. 12. Serving a Tensorflow Model through a Website/03.2 12 TF SavedModel Export Completed.ipynb.zip 6.1 KB
  404. 12. Serving a Tensorflow Model through a Website/04. Converting a Model to Tensorflow.js.mp4 132.5 MB
  405. 12. Serving a Tensorflow Model through a Website/04. Converting a Model to Tensorflow.js.srt 21.1 KB
  406. 12. Serving a Tensorflow Model through a Website/04.1 TFJS.zip 1.5 MB
  407. 12. Serving a Tensorflow Model through a Website/05. Introducing the Website Project and Tooling.mp4 78.0 MB
  408. 12. Serving a Tensorflow Model through a Website/05. Introducing the Website Project and Tooling.srt 17.2 KB
  409. 12. Serving a Tensorflow Model through a Website/05.1 math_garden_stub.zip 44.0 KB
  410. 12. Serving a Tensorflow Model through a Website/06. HTML and CSS Styling.mp4 150.2 MB
  411. 12. Serving a Tensorflow Model through a Website/06. HTML and CSS Styling.srt 37.9 KB
  412. 12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 188.0 MB
  413. 12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.srt 37.2 KB
  414. 12. Serving a Tensorflow Model through a Website/07.1 x_test2_ylabel1.txt 4.6 KB
  415. 12. Serving a Tensorflow Model through a Website/07.2 x_test0_ylabel7.txt 4.6 KB
  416. 12. Serving a Tensorflow Model through a Website/07.3 x_test1_ylabel2.txt 4.6 KB
  417. 12. Serving a Tensorflow Model through a Website/08. Adding a Favicon.mp4 41.5 MB
  418. 12. Serving a Tensorflow Model through a Website/08. Adding a Favicon.srt 7.4 KB
  419. 12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 187.4 MB
  420. 12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.srt 39.4 KB
  421. 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 172.0 MB
  422. 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.srt 37.8 KB
  423. 12. Serving a Tensorflow Model through a Website/11. Data Pre-Processing for Tensorflow.js.mp4 61.9 MB
  424. 12. Serving a Tensorflow Model through a Website/11. Data Pre-Processing for Tensorflow.js.srt 11.9 KB
  425. 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 235.3 MB
  426. 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.srt 38.4 KB
  427. 12. Serving a Tensorflow Model through a Website/12.1 math_garden_stub 12.12 checkpoint.zip 4.1 MB
  428. 12. Serving a Tensorflow Model through a Website/13. Resizing and Adding Padding to Images.mp4 157.5 MB
  429. 12. Serving a Tensorflow Model through a Website/13. Resizing and Adding Padding to Images.srt 26.9 KB
  430. 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 223.3 MB
  431. 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.srt 35.5 KB
  432. 12. Serving a Tensorflow Model through a Website/15. Making a Prediction from a Digit drawn on the HTML Canvas.mp4 104.4 MB
  433. 12. Serving a Tensorflow Model through a Website/15. Making a Prediction from a Digit drawn on the HTML Canvas.srt 17.0 KB
  434. 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 172.8 MB
  435. 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.srt 38.1 KB
  436. 12. Serving a Tensorflow Model through a Website/16.1 math_garden_stub complete.zip 4.1 MB
  437. 12. Serving a Tensorflow Model through a Website/17. Publish and Share your Website!.mp4 38.8 MB
  438. 12. Serving a Tensorflow Model through a Website/17. Publish and Share your Website!.srt 9.5 KB
  439. 12. Serving a Tensorflow Model through a Website/18. Any Feedback on this Section.html 500 bytes
  440. 12. Serving a Tensorflow Model through a Website/GetFreeCourses.Co.url 116 bytes
  441. 12. Serving a Tensorflow Model through a Website/How you can help GetFreeCourses.Co.txt 182 bytes
  442. 13. Next Steps/01. Where next.html 3.9 KB
  443. 13. Next Steps/02. What Modules Do You Want to See.html 431 bytes
  444. 13. Next Steps/03. Stay in Touch!.html 1.0 KB
  445. Download Paid Udemy Courses For Free.url 116 bytes
  446. GetFreeCourses.Co.url 116 bytes
  447. How you can help GetFreeCourses.Co.txt 182 bytes

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