types of ml regression algorithms the most useful and popular ml regression algorithm is linear regression algorithm which further divided into two types namelysimple linear regression algorithm multiple linear regression algorithm we will discuss about it and implement it in python in the next applications the applications of ml regression algorithms are as followsforecasting or predictive analysisone of the important uses of regression is forecasting or predictive analysis for examplewe can forecast gdpoil prices or in simple words the quantitative data that changes with the passage of time optimizationwe can optimize business processes with the help of regression for examplea store manager can create statistical model to understand the peek time of coming of customers error correctionin businesstaking correct decision is equally important as optimizing the business process regression can help us to take correct decision as well in correcting the already implemented decision economicsit is the most used tool in economics we can use regression to predict supplydemandconsumptioninventory investment etc financea financial company is always interested in minimizing the risk portfolio and want to know the factors that affects the customers all these can be predicted with the help of regression model