PracticalDataScience-ENCA

PracticalDataScience-ENCA

enjuichang

The goal of this project is to recommend songs for a given playlist from Spotify. This project starts from data collection all the way to model deployment to ensure you have a working model to showcase.

99 Stars
47 Forks
2 Watchers
Python Language
100 SrcLog Score
Cost to Build
$5.08M
Market Value
$8.32M

Growth over time

9 data points  ·  2022-02-01 → 2026-09-01
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What is the enjuichang/PracticalDataScience-ENCA GitHub project? Description: "The goal of this project is to recommend songs for a given playlist from Spotify. This project starts from data collection all the way to model deployment to ensure you have a working model to showcase.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone PracticalDataScience-ENCA

Clone via HTTPS

git clone https://github.com/enjuichang/PracticalDataScience-ENCA.git

Clone via SSH

[email protected]:enjuichang/PracticalDataScience-ENCA.git

Download ZIP

Download main.zip

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