The laboratory from Algorithmic Machine Learning Course at EURECOM

Intelligence Where You'll Get Your Next Music. Industrial Training Project 2019. under the guidance of Ardent Computech Pvt. Ltd.

Client side Youtube music personalization

Implement a content-based and collaborative filtering recommendation systems for song recommendations.

Code for project "Music recommendation system"

Content Based Music Recommendation Service

This project summarizes the basic steps required to implement a basic recommendation engines that suggests new bands to users. Data are fetched from the open dataset of ListenBrainz in Bigquery. The recommendation engine is built by hacking the keras embedding layers to perform matrix factorization.

This repository implements pre-processing operations of the MELON PLAYLIST DATASET released by Ferraro et al.

Music recommender using Flask, PostgreSQL and the Spotify API

🎵 Music Recommender System using the Decision Tree Classifier

Explore various recommendation systems for music artist recommendation based on the Last.fm dataset.

The Music Mood Lifter is a software system empowered by machine learning algorithms that can detect facial expressions from input faces.

Content based Music Recommendation System

A Music Recommendation System Based on Sound Content

This Project is a music recommender based on the spotify's music database

Recommendation System website

music recommender system radio javan