Loan Prediction Neural Network

A simple 3 layered neural network trained on a Kaggle dataset by Bhavik Jikadara.

This is a simple solution averaging at around 67.74% accuracy.
The original dataset was modified since I do not understand how to work with labels (as of the day I'm writing this)
Rows containing null values were deleted in the data cleanup (again because I wanted to simplify this process for me)

This is one of my first ML projects and therefore might be extremely basic and innacurate. Be kind :)

Instructions:

Clone/download the files.
Make sure you have Python3 and the following dependencies installed: tensorflow, pandas, numpy,, matplotlib, sklearn
Run main.py using CLI command python3 main.py
The runtime shouldn't take more than 20s (at most).

Initialise Jupyter Notebook (or) Google Colab (for Colab, you need to connect to a runtime server)
Make sure that your runtime server has Python3 and the following dependencies installed: tensorflow, pandas, numpy,, matplotlib, sklearn
Upload all the files provided (you may skip the main.py file)
Make sure to set the correct path of the loan_data.csv in loan_predictor.ipynb at dataset = pd.read_csv(<correct_filepath>)
Run the loan_predictor.ipynb file, cell-by-cell.

Have a great day:)