Free
CourseSimple Linear Regression
Learn how to fit and interpret linear regression with a single predictor variable
This course includes
This course includes
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary2 hoursProjects
1Prerequisites
None
About this course
This course is an introduction to linear regression with a single predictor variable and how to implement it using Python. Simple linear regression is the foundation for a lot of statistics and machine learning, so this course serves as an introduction to the topic as well. Python is used by professionals in the Data Analysis and Data Science fields as part of their daily work.
Syllabus
Simple Linear Regression
Learn how to use the most common predictive algorithm!
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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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