3 Ways to Improve Your Regression, Part 1
Linear regression plays a big part in the everyday life of a data analyst, but the results aren’t 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 nonlinear 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, you’ll boost model performance without stumbling over confusing coefficients or problematic p-values!
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