Imagine we’re trying to guess a specific number. Not just whether something will happen, but exactly how much or what value it will be like predicting the exact temperature tomorrow, or the precise amount of sales next quarter. In machine learning, when we want to make these kinds of numerical forecasts based on our data, we use a technique called regression. It helps us find the hidden patterns to predict those exact values.

What is regression?

Regression analysis analyzes how independent variables or features correlate with a dependent variable or outcome. It is a predictive modeling approach in machine learning, where an algorithm predicts continuous outcomes. At its core, regression fits a function:

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