Tutorials

We provide tutorials that illustrate the deployment of Snap ML for different use-cases

• Application of pai4sk-snapml (Logistic Regression) for credit card fraud detection [notebook]
• Application of pai4sk-snapml (Multi-class Logistic Regression) classification on MNIST [notebook]
• Application of pai4sk-snapml (Random Forest) for signal detection on Susy [notebook]
• Application of pai4sk-snapml (Decision Tree) for prediction on HIGGS [notebook]
• Application of pai4sk-snapml (Logistic Regression) for click-through rate prediction at large scale [notebook]