ENN543 Assignment 1: Data Analytics and Optimisation Problems Analysis

This document presents the solutions to ENN543 Assignment 1, focusing on data analytics and optimization. It addresses four key problems: linear regression, regularized regression, and two clustering problems. The linear regression section utilizes MATLAB's `fitlm` function to build a model predicting resistance per unit weight and discusses model validity. The regularized regression problem explores linear, Ridge, and LASSO regression models. The clustering problems involve fuzzy c-means (FCM) and hierarchical clustering techniques. The solutions include MATLAB code, outputs, and interpretations, providing a comprehensive analysis of the data and methods used, including the application of training and validation datasets to improve the models. The document provides a comprehensive overview of data analysis techniques and their practical application.