Course
Learn Linear Regression with R
Learn about the difference between simple linear regression and multiple linear regression in R
This course includes
This course includes
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary3 hoursProjects
1Prerequisites
1 courseWe suggest you complete the following courses before you get started with Learn Linear Regression with R:- Learn R
About this course
This course introduces linear regression and its implementation using R. Linear regression models are essential in machine learning and data analysis. By using R, you’ll gain the skills to build and interpret these models, a crucial ability for anyone in data science or analytics.
Skills you'll gain
Building linear regression models in R
Interpreting the results of regression models
Communicating data insights from models
Understanding the application of linear regression in machine learning
Syllabus
Linear Regression In R
Learn about the difference between simple linear regression and multiple linear regression.
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Related resources
- Article
Introduction to Regression Analysis
This article is a brief introduction to the formal theory (otherwise known as Math) behind regression analysis. - Article
What is Scikit-Learn?
Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib. - Article
Regression vs. Classification
Learn about the two types of Supervised Learning algorithms.
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How to Choose a Linear Regression Model
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.