This project implements Linear Regression from scratch using Python and NumPy, without relying on libraries like scikit-learn. The objective is to gain an in-depth understanding of how linear ...

Contribute to mid6342/ML_Regression_Error_Function_Comparison development by creating an account on GitHub. Skip to content. Navigation Menu Toggle navigation. Sign in Product ... It involves creating ...

Linear regression is one of the most widely used and simplest machine learning techniques. It is a supervised learning method that models the relationship between a dependent variable and one or ...

the function \(h\) is called the hypothesis. a learning algorithm can be thought of as searching through the space of hypotheses for a hypothesis function that works well on the training set, and also ...