Spotify Song Recommender that uses Data Science Modeling

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Machine Learning neural-network bayesian-optimization recommendation-system Python

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  • Spotify_Song_Recommender

    This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

    • You can find the github project Here. To run the code, download the notebook file (.ipynb) and load it in google colab. Once you have it loaded, there are step by step instructions in the notebook. The code is pretty easy to run and just requires some link copy and pasting, so I would so programming experience is not required.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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