Comp615 - Study guides, Class notes & Summaries

This session provides an overview of topics covered during this course. Introduction to Data Science Data Exploration and Visualization Sampling and Empirical Distributions Association, Correlation Coefficient, Regression Error Estimation Prediction Classification: K-Nearest Neighbours (KNN) Classification: Decision Tree Classification: Basic Concepts & Model Evaluation Artificial Neural Networks Feature Selection Methods