Introduction

This repository was created as part of the introductory GitHub training component of a machine learning Training offered by the Department of Community Health & Epidemiology (CHEP) at the University of Saskatchewan (USask).

Section 1: Data Wrangling and Visualization

This section focuses on preparing, exploring, and visualizing data derived from the CANPATH dataset to ensure data quality and generate preliminary insights. The process includes data cleaning, dataset integration, descriptive statistical analysis, and visualization of key variables using the CANPATH Dataset

Section 2: Principal Component Analysis

This section focuses on developing practical and conceptual understanding of unsupervised learning methods, with particular emphasis on Principal Component Analysis (PCA) using selected variables from the CANPATH Student Dataset.