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What is Linear Regression Techniques Explained about?

This document discusses machine learning techniques for regression and linear models. It introduces linear regression with one variable as the simplest model for regression. Linear regression can be used to predict a single output value from a single input value. The goal of regression is to predict a target variable given input variables by modeling the predictive distribution. The accuracy of linear regression models is measured using a cost function, and gradient descent is introduced as a method to mini

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e1840006

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EN