spotify-data-analysis

Interactive Power BI dashboard analyzing Spotify Top 50 World data, artist performance, song popularity, chart trends, album types, and streaming insights using DAX and Power Query.

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

Big Data Analysis with Python

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.

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

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

Unsupervised analysis of 114K Spotify tracks using PCA, t-SNE, GMM clustering, and a Variational Autoencoder for synthetic audio-feature generation.