This project aims to build an ensemble of XGBoost and Gradient Boosting model to predict the customer default in a Bank using machine learning. As predicting the outcome of a loan is a recurrent, crucial and difficult issue in insurance and banking so this project predicts whether a loan will default or not based on objective financial data only.
The main models we used are:
libraries that we will need for this program.
#Import the libraries
Import numpy as np
Import pandas as pd
Import matplotlib.pyplot as plt
import xgboost as xgb