🎬 Basic Movie Recommendation Model 📽️

Welcome to the Movie Recommendation Model repository! This project builds a machine learning model to suggest movies based on user preferences using collaborative and content-based filtering. 🍿✨

Features 🌟

• Hybrid Model: Combines collaborative and content-based filtering.
• Jupyter: Do open the file on jupyter for ease of use.

Installation 💻

Clone this repository and install dependencies:

git clone https://github.com/chayanC7mondal/MovieRecommenderModel.git
cd movie-recommendation-model
pip install -r requirements.txt

Usage 🚀

1. Prepare Data:

   python data_preparation.py --input dataset.csv --output processed_data/

2. Train Model:

   python train_model.py --data processed_data/

3. Make Recommendations:

   python recommend.py --user_id 123

Dataset 📊

Used dataset provided in the link (https://github.com/ChitranjanUpadhayay/ML_Projects/blob/main/Datasets/Movies%20Recommendation%20System/dataset.csv)

Contributing 🤝

1. Fork the repository.
2. Create a branch (git checkout -b feature-branch).
3. Commit changes (git commit -m 'Add feature').
4. Push (git push origin feature-branch).
5. Create a pull request.

Enjoy your movie recommendations! 🎉🍿