The following repository consists of some Fundamental Data Science and Machine Learning Prediction Models created using available datasets from Github itself using Google Colab Notebook

This is an End-to-End Machine Learning project which helps to control Credit card defaults by predicting whether a customer will default next month based on his past 6 months user data.

Credit Card Default Prediction Model

MSc dissertation - Research on Sequential Deep Learning models for Temporal Feature Extraction in Credit Card Default Prediction

An end-to-end machine learning project for credit default prediction. Leverages Norway bank credit card client history dataset to compare AutoML's algorithms with self-build Hyperparameter-tuned Logistic Regression, including training and deploying a production-ready endpoint on AzureML platform.

Exploratory data analysis and credit card payment default prediction using the "Default of Credit Card Clients" dataset from the UCI Machine Learning Repository.