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The aim in regression is forming a relationship between one or more input and output variables. Hence, information on one variable can be obtained by using the information on other variables. To fully explain the regression concept, we will start with its definition in this chapter. Then, we will introduce linear, polynomial, kNN, and decision tree regression.Decision tree regression While handling each regression method, we will cover its theoretical background. Then, we will explore its formation in Python language on PC. Afterward, we will show methods to deploy the formed regressor to the nRF microcontroller. We will form a regressor to estimate future temperature values as end of chapter application.

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Regression

  • 章节

  • 发表日期：

    2025年

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  • Cem Ünsalan,
  • Berkan Höke,
  • Eren Atmaca

摘要

The aim in regression is forming a relationship between one or more input and output variables. Hence, information on one variable can be obtained by using the information on other variables. To fully explain the regression concept, we will start with its definition in this chapter. Then, we will introduce linear, polynomial, kNN, and decision tree regression.Decision tree regression While handling each regression method, we will cover its theoretical background. Then, we will explore its formation in Python language on PC. Afterward, we will show methods to deploy the formed regressor to the nRF microcontroller. We will form a regressor to estimate future temperature values as end of chapter application.