CSC 3105 Project

This project involves data preprocessing and dimensionality reduction using Principal Component Analysis (PCA). The data is first standardized to have a mean of 0 and a standard deviation of 1. Then, PCA is applied to reduce the dimensionality of the data while retaining 95% of the original variance.

File Structure

The project consists of the following files and directories:

• Project.ipynb: This is the main Jupyter notebook file where all the data processing.
• ./UWB-LOS-NLOS-Data-Set/dataset: This directory contains the dataset used in the project.

Installation and Setup

git clone <REPO_URL>
cd <REPO_NAME>
pip install -r requirements.txt