Predictive model to find out the sales of each product at a particular store. Prediction done using Linear Regression, Decision Tree, Ridge Regression and Random Forest Predictors. Find the best optimal solution with the least RMSE(Root mean square error),i.e. ,the best predictor.
Repository from Github https://github.comanusha267/Sales-Prediction
Predictive model to find out the sales of each product at a particular store. Prediction done using Linear Regression, Decision Tree, Ridge Regression and Random Forest Predictors. Find the best optimal solution with the least RMSE(Root mean square error),i.e.,the best predictor.
Predictive model to find out the sales of each product at a particular store. Prediction done using Linear Regression, Decision Tree, Ridge Regression and Random Forest Predictors. Find the best optimal solution with the least RMSE(Root mean square error),i.e. ,the best predictor.