Smart Model For Black Friday Sales Prediction

In the United States and other nations, Black Friday is a significant shopping holiday. Businesses are anxious to forecast their Black Friday sales so they can organize their inventory and marketing initiatives. A smart machine learning based strategy is provided for predicting Black Friday sales in this study. A variety of linear regression, decision trees, and random forests are examples of machine learning methods used. The dataset that we used in this project is ‘Black Friday Sale Prediction’. We find that the linear regression gives the best result for the model. The result shows that it is possible to predict Black Friday sales with a high root mean square error(RMSE).