Walmart Sales Analysis and Prediction

Walmart Sales Analysis and Prediction aims to perform an analysis of Walmart's sales data to gain insights into the performance of the company and to develop a predictive model to forecast future sales. The data includes historical sales figures, promotional activities, and store-specific information for a period of several years. The analysis involves exploratory data analysis, feature engineering, and model selection to identify the most influential factors affecting Walmart's sales. Several machine learning algorithms are used to build a predictive model, and their performances are compared to select the best one. The final model is used to forecast Walmart's sales for the next few quarters. The insights gained from this analysis could help Walmart make informed decisions about inventory management, pricing strategies, and promotional activities