Loan Prediction Using Machine Learning and Its Deployement On Web Application

Loan prediction is one of the most important and most prominent research areas in the field of banking and insurance sectors. In the modern environment identifying and analyzing the patterns of the obtained sample dataset plays a vital role in this era. The loan prediction involves the application of various machine learning algorithms. There are some prediction systems in the market using deep learning and so on. But those are limited with certain features and cannot assist the users beyond those limits. The loan prediction project is developed using machine learning algorithms such as logistic regression. The Python programming language is used for the implementation of the code which has been developed in Colab and the html pages are developed for deployment of website using Visual Studio code. The proposed system can deliver high accuracy results and moderate loss for training and validate data. Finally, the results show the model implemented with high accuracy. Further, this work can be extended in order to improve the focus where the high accuracy can be obtained.