Product Price Dataset for Machine Learning Estimation

This dataset contains anonymized product information designed for building and evaluating machine learning models for price estimation. The dataset includes various product features such as: Category: Product category (e.g., Electronics, Clothing, Home & Garden, Automotive, Consumer Goods) Brand: Anonymized brand names Weight: Product weight in kilograms Rating: Customer rating (1.0–5.0 scale) Warranty: Warranty period in years Power Usage: Power consumption in watts Feature Score: Custom composite score (0–100) Price: Product price in local currency The dataset is intended for research and educational purposes, enabling experimentation with regression models such as Linear Regression, Decision Trees, Random Forest, and XGBoost for price prediction. All personal, sensitive, or copyrighted data has been removed or anonymized.