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 |