music_genre_classification

A boilerplate for reproducible ML pipelines with MLflow and Weights & Biases which uses a music genre classification dataset from Spotify.

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Jupyter Notebook Language

Cost to Build

$24.6K

Market Value

$7.7K

How is this calculated?

Growth over time

3 data points · 2022-11-01 → 2025-08-01

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What is the mxagar/music_genre_classification GitHub project? Description: "A boilerplate for reproducible ML pipelines with MLflow and Weights & Biases which uses a music genre classification dataset from Spotify.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone music_genre_classification

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git clone https://github.com/mxagar/music_genre_classification.git

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[email protected]:mxagar/music_genre_classification.git

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Download master.zip

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