A DJ’s Music Helper

A Deep Learning Approach to Classifying & Mixing Audio Samples for DJs

Problem Statement

“DJs often spend disproportionate amounts of time searching for music tracks, listening to them, and classifying them. How can we make this process quicker and more efficient?

We employ supervised machine learning techniques to analyze music tracks and automatically classify them into different playlists.”

Data Collection and Feature Extraction

Libraries used: Librosa,

Searching, Downloading, and Categorizing Music

Extracting Audio Features

Extracting Textual Features

Storing

Exploratory Data Analysis

Libraries used:

Audio EDA

Textual EDA

Testing Different Supervised Learning Approaches

Libraries Used

Term Frequency – Inverse Document Frequency

Logistic Regression

Decision Trees

XG Boost

Designing Final Supervised Model