2.1.1 Overview Regression

Course subject(s) Module 02. Regression

In section 2, you will learn about the basic components of a regression problem, and we will discuss two approaches on how to solve them (linear and nonlinear methods). We will also discuss what a “good” regression model is, and how to evaluate regression models using two performance metrics: the MSE (mean squared error) and MAE (mean absolute error).

After this section you can:

    • Explain the concepts of a regression problem and explain two ways to solve it
    • Solve a KNN regression problem with pen and paper
    • Use two evaluation measures in regression and recognize their limitations
    • Explain the concept of an outlier and recognize whether they should be removed or not
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AI skills for Engineers: Supervised Machine Learning by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-skills-for-engineers-supervised-machine-learning/
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