loan-approval-neural-network

Uses a neural network algorithm (made from scratch) to predict whether or not a new entry will be approved for a loan.

A basic three-layer layout: input --> hidden layer 1 --> output

Number of neurons for hidden layer: 15

Hidden layer uses ReLU activation function for non-linearity Output layer uses Binary Classification Loss function for 1s and 0s