18 lines
693 B
Markdown
18 lines
693 B
Markdown
# CSC 3105 Project
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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.
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## File Structure
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The project consists of the following files and directories:
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- `Project.ipynb`: This is the main Jupyter notebook file where all the data processing.
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- `./UWB-LOS-NLOS-Data-Set/dataset`: This directory contains the dataset used in the project.
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# Installation and Setup
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```bash
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git clone <REPO_URL>
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cd <REPO_NAME>
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pip install -r requirements.txt
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``` |