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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

Prerequisites:

No experience required

Course Lessons

Lesson 1

Classification Problems

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

Photo of Ben Burkholder

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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