-
Introduction to python
-
Supervised learning
-
Decision Trees
-
Featurisation, Model Selection & Tuning
-
Introduction to Neural Networks and Deep Learning
-
Computer Vision
-
NLP (Natural Language Processing)
-
Introduction to Reinforcement Learning (RL)
-
Introduction to GANs (Generative Adversarial Networks)
-
ADDITIONAL MODULE