BDSI2019-ML
| Notebook | Link |
|---|---|
| 1 - Explore the Dataset |  |
| 2 - Feature Extraction | |
| 3 - Getting X and y | |
| 4 - Clustering & Classification | |
| 5 - Regularization in Classification | |
| 6 - SGD | |
| 7 - Model Evaluation | |
| 8 - Hyperparameter & Model Selection | |
| 9 - Deep Learning | |
| A1 - Decision Boundary | |
| A2 - Backprop | |
| A3 - More Neural Nets | |
| B1 - RNN_Sine_Wave | |
| B2 - Implement LSTMs | |
| C1 - CNN_MNIST | |
| C2 - CNN_Sentiment | |
| C3 - Implement CNNs | |