This project is part of the course "Introduction to Machine Learning" and focuses on supervised learning, specifically binary classification. The objective of the project is to build a model that can predict whether a client should be granted a loan or not.
The dataset used in this project is sourced from Kaggle and can be found at this link. A detailed description of the dataset is available in the accompanying Jupyter Notebook file (.ipynb), where all features and their respective descriptions are thoroughly explained.
The models were validated by an independent team to ensure objectivity and accuracy of the results.