BigMart Sales Data

The dataset contains sales records of over 28 years across various BigMart retail stores

The objective is to predict accurately th sales for given features

The problem is tackled using various regression models viz. Linear Regressor, Gradient Boosting Regressor, Decision Tree Regressor, Random Forest Regressor

Catagorical data is encoded using one hot encoding method and RMSE is used as an evaluation metric for regression models