Hi,

This repository contains my work for the final project of the EEE - 485: Statistical Learning and Data Analytics course at Bilkent University.

In our project, we aim to classify the body performance of people into four classes, given certain physical features. The classification algorithms we employ are K Nearest Neighbors (KNN), Naïve Bayes, and Feedforward Neural Networks. We experiment with different hyper-parameters and architectures in order to maximize the classification accuracy. We also use dimensionality reduction techniques such as Principal Component Analysis to understand their effects on our results. My report can be accessed here: https://xmassmx.github.io/Body-Performance-classification/

Note: Please do not copy this work and stay away from plagiarism. The work in this repository is my solution and is meant to be used as a guide only.