Machine learning exercises using different numerical methods including Naive Bayes, LDA/QDA, and regression.

Spam email classifier algorithm using Naive Bayes (Naive_Bayes.py)

Determining the gender based on height and weight data using Linear discriminant analysis (LDA) and Quadratic discriminant analysis (QDA) (LDA_QDA.py)

Bayesian linear regression exercise (Regression.py)

Robot motion tracking using forward-backward algorithm and Viterbi algorithm (Inference.py)