• Prajwal Pitlehra
• Dr. R. C. Jaiswal

Many banks are revamping their business models because of the technology related to computational power and big data. Credit risk predictions and monitoring, model reliability and loan processing are detrimental to decision-making. There are several methods to analyse credit risk. In this paper, we have explained one of the algorithms that run behind the curtains- K Nearest Neighbours (KNN). We start our discussion by discussing the various methodologies prevalent in the industry and then focus our attention to KNN. We end with a discussion on the table of our results thus obtained from the methodology.

"Credit analysis using K-Nearest neighbours model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.c504-c511, May-2021, Available :http://www.jetir.org/papers/JETIR2105321.pdf

"Credit analysis using K-Nearest neighbours model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppc504-c511, May-2021, Available at : http://www.jetir.org/papers/JETIR2105321.pdf