Prediction of Black Friday Sales using Machine Learning Algorithms
Year: 2025
Type: article
Abstract: Black Friday marks the beginning of the Christmas shopping festival across the US. On BlackFriday big shopping giants like Amazon, Flipkart, etc. lure customers by offering discounts and deals ondifferent product categories. The product categories range from electronic items, Clothing, kitchen appliances,Décor. Research has been carried out to predict sales by various researchers. The analysis of this data serves as a basis to provide discounts on various product items. With the purpose of analyzing and predicting the sales, we have used three models. The dataset Black Friday Sales Dataset available on Kaggle has been used for analysis and prediction purposes. The models used for prediction are linear regression, lasso regression, ridge regression, Decision Tree Regressor, and Random Forest Regressor. Mean Squared Error (MSE) is used as a performance evaluation measure.
Author: S.Varsha, M.Sharath, M.Shashank, S.Prashanth, P.Raghavendra Prasad
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930854150
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