This project aims at the case of customers’ default payments in Taiwan. You are expected to calculate the probability of default for a customer and further use multiple models to compare their predictive accuracy. From the perspective of risk management, the result of predictive accuracy of the estimated probability of default will be more valuable than the binary result of classification - credible or not credible clients.
5 freelancers are bidding on average ₹3550 for this job
I can do this project as I have worked Machine learning and also implemented many ML projects. I am a data scientist so also have experience working on projects.