Linear Regression in Machine Learning – Clearly Explained

Linear Regression is a foundational algorithm for machine learning and statistical modeling. Traditionally, Linear Regression is the very first algorithm you'd learn when getting started with predictive modeling.

Written by Selva Prabhakaran | 1 min read

In this lesson, I introduce what Linear regression is all about.

Linear Regression is a foundational algorithm for machine learning and statistical modeling. Traditionally, Linear Regression is the very first algorithm you’d learn when getting started with predictive modeling.

While there are a lot more ML and Deep learning algorithm in use today, linear regression has its place in several commercial Data science applications in industrial DS projects. Besides, it is one of the favorite topics asked in Data Science / ML interviews, as it often shows the depth of understanding of the candidate in both ML and statistical modeling aspects.

So, Linear regression is an essential algorithm and modeling technique you want to be very clear about when you start in ML / Data Science as a rewarding career.

Related Course: Check out the full fledged Linear Regression and Regularization course.

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