Advanced Machine Learning in DSS
The purpose of this project is to illustrate how DSS users build advanced machine learning models, by combining built-in DSS functionalities and external cutting-edge libraries and software :
- Baseline using DSS
- Custom scikit-learn model
- Custom R (Caret) model
- Custom H2O model
- Custom Vowpal Wabbit model
The objective is to create a workflow that will allow the users to compare the results of several models.