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What is Linear Regression 2 about?

Linear Regression is a supervised machine learning algorithm used to predict continuous outcomes based on input features, with simple and multivariable regression types. The training process involves optimizing weights and biases using a cost function like Mean Squared Error (MSE) and techniques such as Gradient Descent. By learning the best values for weights and biases, the model can accurately predict outcomes, such as sales based on advertising spend across different media.

Author

darshanikare

Language

EN