| Parent directory/ | - | - |
| 9. Introduction to Neural Networks and How to Use Pre-Trained Models/ | - | 2024-Jul-11 09:19 |
| 8. Test and Evaluate a Naive Bayes Classifier Part 3/ | - | 2024-Jul-11 09:19 |
| 7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/ | - | 2024-Jul-11 09:19 |
| 6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/ | - | 2024-Jul-11 09:20 |
| 5. Predict House Prices with Multivariable Linear Regression/ | - | 2024-Jul-11 09:21 |
| 4. Introduction to Optimisation and the Gradient Descent Algorithm/ | - | 2024-Jul-11 09:21 |
| 3. Python Programming for Data Science and Machine Learning/ | - | 2024-Jul-11 09:22 |
| 2. Predict Movie Box Office Revenue with Linear Regression/ | - | 2024-Jul-11 09:22 |
| 13. Next Steps/ | - | 2024-Jul-11 09:22 |
| 12. Serving a Tensorflow Model through a Website/ | - | 2024-Jul-11 09:22 |
| 11. Use Tensorflow to Classify Handwritten Digits/ | - | 2024-Jul-11 09:23 |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/ | - | 2024-Jul-11 09:23 |
| 1. Introduction to the Course/ | - | 2024-Jul-11 09:23 |