Big-Mart-Sales

Exploring the supermarket indusrty using the Big Mart dataset.Doing lot of data preprocessing and feature engineering and visualization.This is a regression problem also consider several regression algorithms such as Linear regression, Decision tree regressor, Random forest regressor, XGBoost regressor, Support vector machine regressor and Gradient boosting regressor to predict the item sales. using the hyperparmeter tuning also. Best accuracy showing algorithm is XGBoost the score is 88, and the less accuracy showing support vector regressor with score 30.