This is the Capstone Project of Ricardo Szczerbacki, for the Machine Learning Engineer Nanodegree course, from Udacity.
proposal.pdf: the Capstone Proposal document.
ProjectReport.pdf: the project report of the Capstone Project.
DataAnalysis.ipynb: the code of the data analysis and pre-processing.
ModelsEvaluation.ipynb: the code of the hyperparameters tuning and models evaluation.
This project is licensed under the MIT License - see the LICENSE file for details
A folder "data" is needed in the project directory with all the csv files of the dataset, that can be found in the links below.
The goal of the project and the dataset used are those from the Kaggle competition "Home Default Credit".
The site of the competition is https://www.kaggle.com/c/home-credit-default-risk
The dataset used can be accessed in https://www.kaggle.com/c/home-credit-default-risk/data