Heavy Equipment Price Prediction.

Overview

Full-stack data science project predicting bulldozer auction prices using real-world commodity data. Covers complete pipeline: feature engineering, handling temporal data, model ensembling with XGBoost, and RMSLE optimization. Demonstrates end-to-end problem-solving from raw data to production predictions.

Highlights

• +XGBoost ensembling
• +Feature engineering for auction data
• +RMSLE optimization
• +Real-world dataset handling

Stack

Python · XGBoost · Scikit-learn · Pandas