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CSC3105_Project
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CSC3105 Project
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Benjamin Loh 1154e2641e ml done using random forest classifier 
ml done using random forest classifier
 		2024-02-25 13:48:30 +08:00
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Project.ipynb ml done using random forest classifier 2024-02-25 13:48:30 +08:00
README.md Added requirements and modified Readme 2024-02-25 10:47:59 +08:00
requirements.txt Added requirements and modified Readme 2024-02-25 10:47:59 +08:00

README.md

CSC 3105 Project

This project involves data preprocessing and dimensionality reduction using Principal Component Analysis (PCA).

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