Introduction

This project aims to analyze and predict loan status and credit score of potential clients using a neural network with two outputs. The goal is to identify patterns and factors that influence loan approval and credit scores, and to build a predictive model that can accurately classify the loan status and predict the credit score of new applicants. The full report in the following Jupyter Notebook: notebooks/report.ipynb

To install the required packages, use the requirements.txt file:

pip install -r requirement_pip.txt

Alternatively, you can use Conda to install the packages:

conda install --file requirement_conda.txt

For TensorBoard visualization, run the following command:

tensorboard --logdir=logs