Dec 15, 2025 · 3 min read · We looked at linear regression, which uses a single input characteristic to predict an output, in my earlier blog.However, judgments are rarely made only on the basis of one reason in real life. For example: House prices don’t depend only on size S...
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Sep 3, 2025 · 3 min read · 📈 Predicting the S&P 500 Using Multiple Linear Regression 📝 Problem Statement This project aims to predict the S&P 500 stock index based on two key macroeconomic indicators: Interest Rate (%) Employment Numbers (in thousands/millions) Using thi...
Join discussionJul 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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Mar 25, 2025 · 6 min read · In the previous blog, we learned how Simple Linear Regression helps predict a continuous value (like house prices) based on one factor (like house size). But in real-world, things are more complex. For example, a car’s price depends on:✅ Horsepower (...
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Oct 21, 2024 · 16 min read · Welcome to Part 2.2 of Machine Learning! Here is the equation for multiple linear regression. As you can see, it is quite similar to our linear regression model. Assumptions of linear regression Now, let's look at the first dataset for the linear re...
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Jun 17, 2024 · 4 min read · print("Linear Regression") Aloha 👽, In our last chapter, Introduction to Supervised Learning Linear Regression, We discussed and learned the idea behind Linear Regression in supervised learning tasks. In this chapter, we'll put our knowledge into pr...
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Jun 10, 2024 · 3 min read · print("Introduction to Linear Regression") Hola 🤗, Linear Regression is a supervised learning model used for regression tasks. Regression tasks try to predict continuous values as we explained in our previous chapter, you can revise here. The basic ...
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