Simple credit risk predictor from scratch
Dataset from : https://www.kaggle.com/kabure/predicting-credit-risk-model-pipeline/data
Explaination of algorithm:
- Loading dataset
- Normalize data dimensions
- Setting well-fitted centroids
- Making 3d visualisation of data divided into clusters
- Training each perceptron for the corresponding cluster
- Making a test of predictor
- Letting you input your own data and predict the credit risk
Enjoy :)