| Date | Lecture |
| Week 1 | Course Introduction |
| Week 2 | Python and Libraries |
| Week 3 | Machine Learning Concepts |
| Week 4 | Supervised Learning, Gradient Descent |
| Week 5 | Logistic Regression |
| Week 6 | Decision trees, Bayesian Classifier |
| Week 7 | k-NN, Multilayer Neural Network |
| Week 8 | Data Preprocessing |
| Week 9 | Performance Evaluation, Ensemble Methods |
| Week 10 | Learning from Text Data |
| Week 11 | Unsupervised Learning |
| Week 12 | Deep Learning and TensorFlow |
| Week 13 | Deep Learning and TensorFlow 2 |
| Week 14 | Reinforcement Learning |