This repository contains a machine learning solution for the Amazon ML Challenge 2025, focusing on predicting product prices from catalog text descriptions. It uses advanced feature engineering, ensemble learning, and gradient boosting models to achieve a final SMAPE score of 56.2%.
From the README
Amazon ML Challenge 2025 - Product Price Prediction 🏆 Project Overview This project is a comprehensive machine learning solution for the Amazon ML Challenge 2025, focused on predicting product prices from catalog text descriptions. The solution employs advanced feature engineering, ensemble learning, and multiple gradient boosting models to the achieve competitive SMAPE scores. Team: Data Miners Institution: Dayananda Sagar University, Bangalore Team Members: Putta Sujith, KAMANNAGARI BHAVITHAGNA, E. Yashas Kumar 🎯 Final Competition Result Final SMAPE Score: 56.2% (Amazon ML Challenge 2025 Leaderboard) --- 📊 Problem Statement Objective: Predict product prices from catalog content...
Skills
- Python
- Jupyter Notebook
