gaurav8604 / bank-loan-approval-prediction

A Deep Learning project based on Artificial Neural Network to predict the eligibility of a person for a loan

Bank-Loan-Prediction-using-ANN

A multi-layer neural network model for predicting approval for personal bank loans.

DESCRIPTION

The dataset for this project consists of labeled data. The target column is called 'Personal Loan' which is used to predict whether a customer gets approved for loan or not.

As it can be seen, the data consists of various important features in making the decision for loan approval. This project is more of an introduction to building a neural network model for predictive modeling. We will be using Tensorflow and Keras via Python for achieving these tasks.

DATASET

The dataset is fetched from the kaggle.com website.

LIBRARIES NEEDED

• pandas
• numpy
• matplotlib
• seaborn
• tensorflow

VISUALIZATIONS

Classification Performance

ACCURACY:

F1 Score: 0.9217

Precision: 0.9636

Recall: 0.8833

Accuracy: 0.9820

CONCLUSION

Hence, this project concludes the loan approval prediction system, using artificial neural network, deciding whether a bank customer should be approved a loan or not.