#gradient decent types

Introduction Question: How can we find the optimal parameters (weights) of a linear regression model to minimize the error between the predicted values and the actual values using gradient descent? Purpose: The purpose of using gradient descent in linear regression is to iteratively adjust the parameters to minimize the cost function, thereby reducing the prediction error and improving the…