Lesson 1
Classification Problems
Free
Classification Models
Course
Learn how to use classification models to predict non-numeric outcomes, such as whether a customer will respond to a marketing campaign, default on a loan, or cancel a subscription.
Learn how to use classification models to predict non-numeric outcomes, such as whether a customer will respond to a marketing campaign, default on a loan, or cancel a subscription.
Last Updated March 7, 2022
No experience required
Course Lessons
Lesson 2
Binary Classification Models
Build logistic regression and decision tree models. Use stepwise to automate predictor variables selection. Score and compare models and interpret the results.
Lesson 3
Non-Binary Classification Models
Build and compare forest and boosted models and interpret their results. Score and compare models and interpret the results.
Taught By The Best
Ben Burkholder
Instructor
Ben Burkholder is a senior solution engineer at Alteryx, Inc. In this role he works extensively with clients to help develop plans to solve complex business problems around data preparation, geospatial analysis, and predictive analytics.
Taught By The Best
Ben Burkholder
Instructor
Ben Burkholder is a senior solution engineer at Alteryx, Inc. In this role he works extensively with clients to help develop plans to solve complex business problems around data preparation, geospatial analysis, and predictive analytics.
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Classification Models