Spotify Repeat Prediction System 🎵

Project Overview

This project implements a Machine Learning system that predicts a user's likelihood of repeatedly listening to a song within a set timeframe (30 days).

Key Features

• Time-Aware Prediction: Analyzes listening timestamps to detect patterns based on time of day and day of the week.
• User History Tracking: Factors in how many times a user has heard a song before.
• Smart Target Generation: Automatically labels data with 1 (Repeat) or 0 (No Repeat) based on a 30-day window.

Technical Stack

• Language: Python 3.x
• Libraries: pandas, scikit-learn, numpy
• Model: Random Forest Classifier

How to Run

1. Install dependencies:

   pip install pandas numpy scikit-learn