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