This software can be used by the Venture Capitalist firms in deciding whether they should invest is startup oor not according to the success rate.
In this project we make a predictive analysis to improve the decision making of the venture capitalists on their investments to be made on the startups. Using various classification methods, we here try to make a prediction considering various factors like startup locations, funding rounds, category, status and so on. Using these locations the prediction based system will suggest the venture capitalist if the startup he wants to invest on will go bankrupt or not in the near future. The test dataset which is used in this project is based on the crunch base API. Analysis is performed using various methods like Linear Regression, Logical
Regression, Decision tree, KNN method.
Created with nodejs,Expressjs,R,MySQL
Deployed to AWS EC2 ubuntu instance using WinSCP and putty