Credit Default Prediction

Example repository to display current skills. The project is based on the following Kaggle dataset: https://www.kaggle.com/ajay1735/hmeq-data

Project desciption

1. Data cleaning and basic feature engineering.
2. Construct simple Logistic Regression model as a baseline.
3. Construct Ensemble model of multiple Logistic Regressions by randomly sampling rows and columns.
4. Create classes for step 2 and 3 and create pipeline class.
5. Create Flask app to train the model and save the output.
6. Create Docker container for the whole project.