Maths

Linear Regression using Gradient Descent Part-1

Linear Regression using Gradient Descent Part-1

Introduction Linear Regression is one of the simplest and most fundamental algorithms in Machine Learning and Statistics. It is used to model the relationship between a dependent variable (target) and one or more independent variables (features). The primary objective is to find the best-fitting line that minimizes the error between the actual and predicted values.

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