Predictive Analysis for Big Mart Sales Using Machine Learning Algorithm

• Python
• Machine Learning

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 should take 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, hyper parameter tuning is used to help you to choose relevant hyper parameters that make the algorithm shine and produce the highest accuracy.