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Big Mart Sales Prediction Using Machine Learning Techniques

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-3 Issue-4
	Year of Publication : 2020
	Unique Identification Number : IJSRED-V3I4P81
	Authors : Aaditi Narkhede, Mitali Awari, Suvarna Gawali, Prof.Amrapal Mhaisgawali

MLA Style: Aaditi Narkhede, Mitali Awari, Suvarna Gawali, Prof.Amrapal Mhaisgawali " Big Mart Sales Prediction Using Machine Learning Techniques" International Journal of Scientific Research and Engineering Development (IJSRED) Vol3-Issue4 | 693-697.

APA Style: Aaditi Narkhede, Mitali Awari, Suvarna Gawali, Prof.Amrapal Mhaisgawali. Big Mart Sales Prediction Using Machine Learning Techniques. International Journal of Scientific Research and Engineering Development (IJSRED) Vol3-Issue4 | 693-697.

Abstract :

The sales forecast is based on BigMart sales for various outlets to adjust the business model to expected outcomes.The resulting data can then be used to prediction potential sales volumes for retailers such as BigMart through various machine learning methods. The estimate of the system proposed shouldtake account of price tag, outlet and outlet location. A number of networks use the various machine- learning algorithms, such as linear regression and decision tree algorithms, and an XGBoost regressor, which offers an efficient prevision of BigMart sales based on gradient. At last, hyperparameter tuning is used to help you to choose relevant hyperparameters that make the algorithmshine and produce the highest accuracy.