- Built A ML pipeline that classifies a Spotify dataset of tracks into their appropriate genres
- Created a recommender that takes a track and integer K as input from the user and recommends the top K similar songs to the user input
- Applied various supervised learning models that classify tracks into their appropriate genres based on Kaggle dataset of tracks with genres and attributes such as tempo, valence, etc.
- Built functions to access and extract features from track data in the Spotify API if track data was not already present in the dataset
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View Code? Open in Web Editor NEWSpotify Songs Genre Classifier & Songs Recommender with Supervised Learning
React
Typescript
Django
Laravel
Facebook
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Alibaba
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Tencent