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Introduction: Hey everyone!I recently completed a project on Polynomial Regression as part of my Machine Learning learning path. This post walks you through what Polynomial Regression is, why we need it, how I implemented it using Python, and key ta...

Till now, things were simple!! All relationships were in straight line, so it was pretty easy to take certain decisions. Later we learned how Multiple Linear Regression (MLR) models relationships where the effect of independent variables is linear. B...

Introduction Linear Regression is a powerful tool, but its simplicity can be a limitation when dealing with non-linear relationships. To tackle this, we turn to Polynomial Regression, which can model more complex patterns by fitting a polynomial equa...

In statistics, linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables). The case of one explanatory variable is called si...
