• Online, Self-Paced
Course Description

Regression is used in the real world to predict things like stock prices, car mileage, or insurance premiums. RapidMiner studio offers an easy-to-use visual designer that allows you to construct a regression workflow with little to no code.

In this course, explore regression models and the R-squared metric used to evaluate regression models. Next, use RapidMiner to retrieve data and use it for modeling. Then, automate data preparation with Turbo Prep, automate the training of multiple regression models using Auto Model, and compare these models using RapidMiner. Build a workflow to train regression models by using operators for data cleaning, imputing missing values, one-hot encoding, and partitioning your data. Finally, train multiple models for regression analysis and compare their performance and perform hyperparameter tuning to get the best model design for your use case.

When you are finished with this course, you will be able to build a complete workflow in RapidMiner for regression analysis and improve your model using hyperparameter tuning.

Learning Objectives

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Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.