**Part 1: Linear Regression and MARS™ (Multivariate Adaptive Regression Splines) software**

**which is an extension of linear models that automatically model nonlinearities and interactions between variables**

Sep 14, 10am PT, 1pm ET

**Part 2: TreeNet® Gradient Boosting software and RandomForests® software**

Sep 21, 10am PT, 1pm ET

Join us for a special 2-part webinar about voting trends, presented by our resident data scientist, Christian Kendall. In this webinar we will show how machine learning models and data science can be used in today's election climate.

We will cover:

- How data science is used in modern campaigns
- Regression and predictive analytics for microtargeting
- Identifying demographic trends through machine learning
- Gaining new insights by using data mining on polls and election data
- Understanding affects on voting behavior while making predictions