This project is a content-based movie recommendation system.
It recommends movies similar to a given movie using TF-IDF vectorization and cosine similarity based on genre and description.
- Python
- Pandas
- Scikit-learn
MovieRecommendation/ βββ scripts/ β βββ Main.py βββ README.md βββ requirements.txt
bash Copy code
git clone https://github.com/YourUsername/CodeAlpha_MovieRecommendation.git
cd CodeAlpha_MovieRecommendation
pip install -r requirements.txt
python scripts/Main.py
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Example Output
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π¬ Movies in database:
['The Shawshank Redemption', 'The Godfather', 'The Dark Knight', 'Pulp Fiction',
'The Lord of the Rings', 'Forrest Gump', 'Inception', 'Fight Club', 'Interstellar', 'The Matrix']
β
Recommended movies for 'Inception':
['Interstellar', 'The Matrix', 'The Dark Knight', 'Fight Club', 'The Lord of the Rings']