Spotify Playlist Recommender
Goal: Recommend songs based on user playlist behavior.
Tech Stack: Python, Pandas, Sklearn, Collaborative Filtering, Clustering
Overview
Developed a recommendation system for Spotify users by analyzing playlists and audio features.
Approach
- Cleaned and analyzed user playlist data
- Engineered features from track metadata and user history
- Used K-Means to group similar songs and users
- Built collaborative filtering model for song recommendations
Results
- Achieved ~70% top-5 recommendation accuracy
- Enabled music discovery tailored to taste clusters
👉 View on GitHub