This is credit scoreing course project from Petr Sokerin. The aim of the project is to practise in using classical machine learning algorithms for solving binary classification task.
The project was realized in january 2021
The dataset was used from Kaggle competition "Loan Data for Dummy Bank" (https://www.kaggle.com/datasets/mrferozi/loan-data-for-dummy-bank)
For run notebook you need to download file "loan_final313.csv" from Kaggle website and store it in the same folder with notebook. After that you can run the notebook "Credit Scoring.ipynb"