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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,...

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 (...

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...

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...

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 ...
