This tutorial aims to demonstrate the best practices of building, evaluating and deploying predictive models in healthcare using a language and environment for statistical computing called R [1].

This repository contains tutorials on normative modeling using the PCNtoolkit. Please adhere to the citation guidelines availabe in each tutorial directory. tutorials/--> Contains the Python notebooks ...

Spark is a genearal cluster computing engine for large-scale data processing. In this repository we store tutorials, exercises, and code snippets, to get started with Spark for predictive modeling.

The paper provides a reasonably accessible and self-contained tutorial exposition on model predictive control (MPC). It is aimed at readers with control expertise, particularly practitioners, who wish ...

Building a Predictive Analytics Model Made Easy. Make no mistake, predictive analytics is not simple. However, with a step by step approach, any marketer can nail it. Here’s how. Define a Clear Goal ...

This works provides an introduction to support vector machines (SVMs) for predictive modeling in heterogeneous catalysis, describing step by step the methodology with a highlighting of the points ...