Jul 26, 2025 · 18 min read · Once we’ve built a linear regression model, the next big question is: “How good is this line at making predictions?” It’s not just about drawing a line — it’s about understanding how well the model captures real-world patterns. Are predictions clos...
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Jul 26, 2025 · 7 min read · In this part of the series, we will dive into one of the most foundational concepts in machine learning — Linear Regression. We'll explore its core ideas and intuitively walk through the mathematics involved. Using only Python and NumPy, we'll implem...
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Jul 25, 2025 · 4 min read · 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,...
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Jan 11, 2025 · 5 min read · In this article, I will be able to bestow you with my mathematical intuition on the topics mentioned above. After reading this you will be able to get more intuition of what these things are and how to make sense of them. All of these things mentione...
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Nov 11, 2024 · 10 min read · Hi there, in this post, I will discuss the metrics that are used to evaluate how accurate machine learning models are. I hope that helps. You can use this page as a cheat sheet. At its core, what we all do when deriving a machine learning model is ma...
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