Machine Learning Course - Fall 2020
- Review on Probability & Linear Algebra
- Visualization & Dimensionality Reduction
- Data Modeling & EDA
- Regression
- Linear Models for Classification
- Decision Tree & Ensemble Learning
- Graphical Models
- Clustering Models
- EM & GMM
- Neural Network
- Introduction to CNN