Part 6: A Deep Dive into Linear Regression Assumptions
A Guide to the Assumptions of Linear Regression

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Series
In this series, I am trying to understand how AI works using first principles through the simplest way possible. I will be using python as my learning medium. And this series is somewhat my journaling of the whole process.
A Guide to the Assumptions of Linear Regression

Explore Underfitting and Overfitting Through Simple Visuals and Guides
Evaluating the model's performance

Understanding Linear Regression with Simple Steps

Previously in Part 1, we introduced supervised learning — teaching machines with examples. Now, let’s dive deeper into regression, the method behind predicting things like prices, temperatures, or growth. In this post, we’ll learn what regression is,...

"Teaching machines by example — so they can make smart predictions on their own." Supervised Learning, is one of the most critical foundations of machine learning. Here we will learn what it is, how it works, and the two major types of supervised le...
