Loan Grade System with TensorFlow

Python TensorFlow

TensorFlow, Keras, Python, Deep Learning


This project develops a Loan Grade Prediction system using TensorFlow, aimed at predicting the grade of loans based on various features. Through comprehensive data preprocessing, feature selection, and the application of machine learning algorithms, the system provides insights into loan grading which can be crucial for financial institutions in assessing credit risk.


Getting Started

Follow these instructions to set up the project and run the notebook in your local environment.



  1. Install the required libraries using pip. Ensure you have Python installed on your system. pip install tensorflow numpy pandas matplotlib sklearn
  2. Clone the repository or download the Jupyter notebook file to your local machine.

Running the Notebook

  1. Navigate to the notebook directory.
  2. Open Jupyter Notebook or JupyterLab. jupyter notebook
  3. Run each cell in the notebook sequentially to process the data, train the model, and evaluate its performance

Libraries Used

import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.preprocessing import LabelEncoder, StandardScaler from sklearn.model_selection import train_test_split import tensorflow as tf

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