Linear Regression

4.33

Beginner

2.25 Hrs

7.3K+

Ratings

Level

Learning hours

Learners

Skills you’ll Learn

Types of Linear Regression
Regression analysis
Missing Value Detection
Data handling and prediction

About this course

In today's world, where we are surrounded by data, it becomes vital that it can be used to its fullest to understand the power of insights that can drive businesses to success. Machine learning is a domain that helps us do just that, among other essential applications. So, what is Linear Regression? How does Linear Regression work?  Linear Regression is a viral supervised learning algorithm, helping us with tasks like prediction and classification. It has seen an explosive amount of application on the lines of face recognition, etc. Considering this, the amount of interest poured into linear regression by the world today is overwhelming. Since the learning curve for linear regression can get steep, it is vital that you take a structured approach to learn the same. Keeping exactly this in mind, we have this linear regression tutorial that presents clear and easy-to-understand content, helping you get started with linear regression. The theoretical learning is complemented with a practical demonstration using Python as well. The world’s top universities have collaborated with Great Learning and designed the best Postgraduate and Degree programs in the field of AIML. They offer India’s #1 Ranked Online AIML Courses, providing a comprehensive curriculum designed by top faculties. They help learners to become AIML professionals, resulting in 8000+ successful career transitions.

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Course Outline

Linear Regression

Regression Analysis

Trusted by 1 Crore+ Learners globally

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Is this course free?

How do you learn linear regression?

Linear regression is a machine learning algorithm used to solve supervised learning problems. You can start learning linear regression by understanding its basics and applying it to solve simple linear equations, to begin with. Enroll in Great Learning Academy today to avail the linear regression certification course for free.  

What is a linear regression with an example?

Linear regression is a linear approach to determining the relationship between dependent and independent variables. As the name implies, it is applied to solve straight-line problems, for example, mercury expansion in thermometers—the mercury level increases as the temperature increases. 

What is linear regression used for?

Linear regression is applied to solve mathematical problems in machine learning algorithms based on supervised learning techniques, target prediction values, find the relationship between the variables, and forecast. 

 

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