EDA of Spotify Song Attributes and fitting Decision Tree Classifier.
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Updated
May 20, 2020 - Jupyter Notebook
EDA of Spotify Song Attributes and fitting Decision Tree Classifier.
This project analyzes Spotify music data to uncover trends, identify key features influencing track popularity, and predict future hit songs. It combines advanced statistical techniques, machine learning, and exploratory data analysis to deliver actionable insights for artists, producers, and marketers in the music industry.
Uncovering the 'DNA' of hit songs: A Python-based analysis of Spotify audio features and popularity metrics.
Spotify Exploratory Data Analysis Project
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