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Codecademy

How to Choose a Linear Regression Model

via Codecademy

Overview

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Learn how to decide which regression model to use.
While it is can be easy to make a model, the real science comes in choosing which model best fits your problem, and tuning your model to be just right. This course is an introduction to tools, techniques, and best practices for choosing a linear regression model and how to report your choices.



### Take-Away Skills
In this course, you will learn how to decide quantitatively between different models, and evaluate model performance. We will cover both simple and multiple linear regression. You will learn how to interpret your findings, and make recommendations for which models best answer which questions.

Syllabus

  • Choosing a Linear Regression Model: Learn how to choose the best linear regression model for a particular research question.
    • Lesson: Choosing a Linear Regression Model
    • Quiz: Choosing a Linear Regression Model
    • Project: Craigslist Analysis
    • Article: Linear Models in scikit-learn vs. statsmodels
    • Article: Next Steps

Taught by

Kenny Lin

Reviews

5 rating at Codecademy based on 5 ratings

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