Machine Learning Walmart Sales Forecast

This project focuses on predicting Walmart sales during holidays using a dataset obtained from Kaggle. We preprocess the data by merging datasets, handling missing values, and performing outlier detection. Exploratory data analysis provides insights into average monthly sales and holiday sales distribution. The Random Forest Regression algorithm is applied to model the sales data, and the model’s performance is evaluated. The results aid in optimizing inventory management and marketing strategies, contributing to improved sales forecasting in the retail industry.