Walmart Sales Prediction

Project Synopsis & Overview

This project predicts Walmart sales using historical retail data and machine learning algorithms. It analyzes weekly sales records and relevant store and product attributes through data preprocessing, feature analysis, model training, and performance evaluation. Random Forest, K-Nearest Neighbors Regressor, XGBoost Regressor, and Linear Regression are evaluated using RMSE and variance scores to identify effective forecasting models and support inventory planning and retail decision-making.

Complete Technical Specifications