Name                                                                                 Last modified      Size  
 Parent Directory                                                                                          -   
 1. Introduction to the Course/                                                       2024-07-11 10:23    -   
 2. Predict Movie Box Office Revenue with Linear Regression/                          2024-07-11 10:22    -   
 3. Python Programming for Data Science and Machine Learning/                         2024-07-11 10:22    -   
 4. Introduction to Optimisation and the Gradient Descent Algorithm/                  2024-07-11 10:21    -   
 5. Predict House Prices with Multivariable Linear Regression/                        2024-07-11 10:21    -   
 6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/  2024-07-11 10:20    -   
 7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/                    2024-07-11 10:19    -   
 8. Test and Evaluate a Naive Bayes Classifier Part 3/                                2024-07-11 10:19    -   
 9. Introduction to Neural Networks and How to Use Pre-Trained Models/                2024-07-11 10:19    -   
 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/ 2024-07-11 10:23    -   
 11. Use Tensorflow to Classify Handwritten Digits/                                   2024-07-11 10:23    -   
 12. Serving a Tensorflow Model through a Website/                                    2024-07-11 10:22    -   
 13. Next Steps/                                                                      2024-07-11 10:22    -   

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