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Machine Learning Approach to Predict Farmer's Loan/Credit Repayability using Weather Prediction and Credit History
International Journal for Research in Applied Science and Engineering Technology
The premise of our paper is with the help of Machine Learning, we aim to develop a comprehensive rating system using the predicted outcome of weather prediction and an individual's credit history. With our system, an individual could find out the likelihood of the ability of fulfilling the loan undertaken, similarly financial institutions can use the system to find out the likelihood of the credit being repaid and the individual's eligibility of the maximum credit. The demand of agriculturedoi:10.22214/ijraset.2018.4228 fatcat:4coi4q34kfeifdix5e6bxd734m