A Survey to Improve the Product Sales of Michigan Co. using Machine Learning Algorithm

The major requirement by a Michigan Co. is prediction of product sales, so as to match the demand. The Company produces Tea and Soap. If the demand can be forecasted for its products, the supply for these products can be maintained in the respective month. The demand can be understood by understanding the sales of the Company during previous years. The system proposed uses Machine Learning using Python to build a Regression model that can use the p- value to Come out of Null Hypothesis. Thus, algorithm can understand and increase its accuracy over the period of time.. The Model implements linear regression system to predict the value of sales using the dataset Containing the information about the previous year’s sales.