Projects pertaining to fundamental ML algorithms, their mathematic background as well as their implementation, using Python (numpy).
Table of Contents:
- Assign. 2: Regression: Kernel Trick, OLS implementation for regression, classification, non linear problems
- Assign. 3: Regularization: Estimates and estimators – Estimator bias and variance - Ridge Regression
- Assign. 4: Estimator Variance: Estimates and estimators – Estimator bias and variance - Ridge Regression