1 - Supervised Machine Learning (Linear Regression, Regularization to Avoid Overfitting, Logistic Regression for Classification, Gradient Descent, Supervised Learning)

2 - Advanced Learning Algorithms (Tensorflow, Artificial Neural Network, Xgboost, Tree Ensembles)

3 - Unsupervised Learning, Recommenders, Reinforcement Learning (Anomaly Detection, Collaborative Filtering, Recommender Systems)