https://github.com/gregorybchris/pca

PCA assignment for Park Tudor
https://github.com/gregorybchris/pca

analysis component data display embedding pca principal projection teach

Last synced: 11 months ago
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PCA assignment for Park Tudor

• Host: GitHub
• URL: https://github.com/gregorybchris/pca
• Owner: gregorybchris
• Created: 2023-12-23T21:25:11.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-12-30T05:53:20.000Z (about 2 years ago)
• Last Synced: 2025-01-12T15:12:35.730Z (12 months ago)
• Topics: analysis, component, data, display, embedding, pca, principal, projection, teach
• Language: Python
• Homepage:
• Size: 551 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Automobile EDA

Basic exploratory data analysis on a dataset of automobiles using PCA.

This project is an assignment for the Park Tudor data science class.

See [assignment.md](assignment.md) for the full written assignment.



## Usage

```bash

pip install -r requirements.txt

python main.py

```

## Data Source

This automobile dataset comes from Kaggle:

https://www.kaggle.com/datasets/tawfikelmetwally/automobile-dataset