- Getting Started with Machine Learning
- Python Libraries for ML: Numpy, Pandas, Matplotlib, sklearn
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forests
- Naïve Bayes Classifier
- K-Nearest Neighbours
- Support Vector Machines
- Clustering: K-Means and Hierarchal
- Dimensionality reduction
- Natural Language Processing
- Recommendation Systems
- Introduction to Neural Networks and Deep Learning