Machine Learning · 2025
Movie Recommendation System
A content-based recommender that suggests similar movies from genre, cast, and plot-overview text alone — no user ratings required. TF-IDF turns the text into vectors; cosine similarity finds what's actually alike.
- Role
- End-to-end build
- Year
- 2025
- Type
- Machine Learning
The question
A content-based recommender that suggests similar movies from genre, cast, and plot-overview text alone — no user ratings required. TF-IDF turns the text into vectors; cosine similarity finds what's actually alike.
Approach
Built end-to-end in a Jupyter notebook: data cleaning and inspection first, then feature preparation, then the smallest model that could answer the question honestly. The full walkthrough, code, and figures live on GitHub.
Stack
- Python
- Pandas
- Scikit-learn
- TF-IDF
- Cosine Similarity