This repository contains a heart disease prediction model utilizing machine learning algorithms including XGBoost, Support Vector Machine (SVM), Random Forest, and Logistic Regression. The project aims to predict the presence of heart disease based on various patient features, using data from Kaggle Repository.

We have performed data analysis and data visualisation on a subset of the LendingClub dataset and then created a logical regression model to assess whether or not a new customer is likely to meet it's debt obligations(pay back the loan).