“Big Mart Sales Prediction” is a machine learning project that aims to predict the sales of a business such as Big-Mart. The project uses various machine learning models such as Xgboost, Linear regression, Polynomial regression, and Ridge regression techniques to forecast the sales of a business. The project also uses data analysis techniques such as feature engineering, cross-validation, and model evaluation to improve the accuracy of the prediction models.