Kaggle Competition
This is an analysis of the UCI credit card default dataset available at: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients#.
This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labeled dataset. The classifier used for this project is RandomForestClassifier. Deployed in Heroku.
The model predicts for the next month credit card defaulter based on demographic and last six months behavioral data
This project goals is to predict whether the customer will be defaulted or not
Credit Card Clients (CCC) Default Prediction Using various Machine learning Algorithms
Predicts the credit card default risk
Predicting if a customer will default the next credit card payment using supervised machine learning. Python jupyter notebook attached.
Add a description, image, and links to the credit-card-defaulter-prediction topic page so that developers can more easily learn about it.
To associate your repository with the credit-card-defaulter-prediction topic, visit your repo's landing page and select "manage topics."