spotify-data-analysis

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.

Using inferential statistics and binomial distributions to predict musical modality outcomes and assess risk in automated Spotify playlist curation.

Big Data Analysis with Python

Spotify data analysis project using MySQL, featuring SQL queries, CTEs, window functions, and music streaming insights.

Generates a simple HTML page from you Spotify extended streaming history just by telling it where the directory.