Research using Machine Learning algorithms to predict borrower creditworthiness and reduce defaults for micro finance institutions in trinidad and tobago

 Doing research on Machine learning algorithms for the financial industry. This research will help me to answer some questions like

What is a machine learning algorithm (MLA)? How does it work? When should we use an MLA and when not to use it? and why use MLA?

I would like to find out how effective MLA is for predicting borrower creditworthiness? If there are many MLAs, compare which is the best and most efficient for reducing defaults. Compare the use of no MLA to MLA used and which is more profitable.

Look at the microfinance industry related to default rates in Trinidad and Tobago. See how MLA can be applied to this industry to decrease default rates. To do this, I will have to do an interview or questionnaire.