Part 6: A Deep Dive into Linear Regression Assumptions
A Guide to the Assumptions of Linear Regression
Series
My AI Journey: Learning from First Principles
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.
Posts in this series
Part 5: Striking the Balance — Understanding Underfitting and Overfitting in Linear Models
Explore Underfitting and Overfitting Through Simple Visuals and Guides
Part 4: Linear Regression: Key Techniques for Better Model Performance
Evaluating the model's performance
Part 3: Understanding Linear Regression for Accurate Predictions - The Line Function
Understanding Linear Regression with Simple Steps
Part 2: Regression in Machine Learning: Predicting the Future with Data
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,...
Part 1: What is Supervised Learning?
"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...
