Solving Simple Linear Regression: An example of small data set of Study Hours vs. Student Marks

Let's start with the simplest and most intuitive regression problem out there.

In this hands-on session, we'll solve a classic question: Do more study hours lead to higher marks? And if so, by how much?

Using a small dataset of students and their study hours, we'll build a simple linear regression model from scratch. You'll learn:

-How to find the relationship between one input (study hours) and one output (marks)
-The math behind the best-fit line
-How to predict a student's marks based on their study time
-Evaluating how good our predictions really are
-No complex algorithms, no overwhelming code. Just a clear, step-by-step example you can follow along with.

By the end, you'll understand how linear regression works at its core – and you'll never look at study hours the same way again. Let's predict.

Видео Solving Simple Linear Regression: An example of small data set of Study Hours vs. Student Marks канала Umar Khan