BIG-MART-SALES-PREDICTION

conducted in-depth analysis of a large dataset containing historical sales data, product attributes and store information. --> Developed and implemented machine learning models, including regression algorithms, to accurately forecast sales for different products and stores and we finally obtained a better result through random forest regression algorithm. Achieved 82 percentage of accuracy in sales predictions, showeasing the effectiveness of the model and the ability to deliver actionable insights for business decision-making.