By using back propagation algorithm in Multilinear Regression
This is a Multilinear Regression model which is using Back Propagession algorithm. Multilinear Regression is used to predict feature value of dependant variable based on no of independant variable.
The Buisness problem is: Dataset consists of data of 50 startups which include R&D Spend, Administration, Marketing Spend, State, Profit. Here profit is dependant variable and remaining all other coloumns are indepandant variable. Consider a scenario where VP firm have to invest money, so on what criteria they should invest.