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