Six short practicals contributing 20% to the final mark:
- Data Exploration and Linear Regression (Scikit-Learn)
- Classification (Scikit-Learn)
- Ensemble Learning (Scikit-Learn)
- Deep Learning (TensorFlow)
- Convolutional Neural Networks (TensorFlow)
- Visualization