Quotes Author Classification (ML Pipeline)

This project builds a simple machine learning pipeline to predict the author of a quote using text features.

Dataset

• Scraped from https://quotes.toscrape.com
• Contains quote text and author names

Tech Stack

• Python
• pandas
• scikit-learn

Pipeline

1. Load and clean dataset
2. Convert text to TF-IDF features
3. Train Logistic Regression model
4. Evaluate using accuracy

How to Run

pip install -r requirements.txt
python train.py

## Model Performance Notes

The classification accuracy is relatively low (~10%). This is expected due to:
- A large number of author classes
- Very few quotes per author
- Short quote length and overlapping writing styles

The goal of this project is to demonstrate a clean and correct
machine learning pipeline rather than to optimize model accuracy.

## Future Improvements

- Add command-line arguments for flexibility
- Improve error handling
- Extend the project with additional features