[Solved] CS5691: Pattern recognition and Machine Learning Programming Assignment 1

Datasets:

Dataset 1: 1-dimensional (Univariate) input data

Dataset 2: 2-dimensional (Bivariate) input data

Dataset 3: Multivariate real world data

Regression Tasks:

Task 1. Polynomial curve fitting for Dataset 1

Task 2. Linear model for regression using polynomial basis functions for Dataset 2

Task 3. Linear model for regression using Gaussian basis functions for Datasets 2 and 3

Regularization methods:

1. No regularization in Tasks 1, 2 and 3
2. Quadratic regularization in Tasks 1, 2 and 3
3. Tikhonov regularization in Task 3