Date/Time: February 10, 2015 from 10am-11am PDT
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Abstract:
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Abstract:
- Linear regression plays a big part in the everyday life of a data analyst, but the results are not always satisfactory. What if you could drastically improve prediction accuracy in your regression with a new model that handles missing values, interactions, AND nonlinearities in your data?
- Instead of proceeding with a mediocre analysis, join us for this presentation, which will show you how MARS non-linear regression, TreeNet gradient boosting, and Random Forests can take your regression model to the next level with modern algorithms designed to expertly handle your modeling woes.
- With these state-of-the-art techniques, youll boost model performance without stumbling over confusing coefficients or problematic p-values!
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Webinar: 3 Ways to Improve your Regression
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