1.7 Supervised - Classification - Naive Bayes - Multinomial

This video is part of the ML course at Asian Institute of Technology, taught by Dr. Chaklam Silpasuwanchai.
Mostly we focus on coding from scratch to allow students to understand the underlying mechanism of ML.
The course covers:
1. Supervised (Regression, Classification)
2. Unsupervised
3. Deep Learning
4. Reinforcement Learning
Github: github.com/chaklam-silpasuwanchai/Python-for-Machine-Learning/tree/main