Introduction: The Bias-Variance Trade-Off
Explore the bias-variance trade-off in logistic regression by learning to apply L1 and L2 regularization, cross-validation, and gradient descent. Understand how to improve model performance and reduce overfitting by tuning hyperparameters and applying statistical assumptions.
We'll cover the following...
We'll cover the following...
Section overview
In this chapter, we’ll cover the remaining elements of logistic regression, including what happens when you call fit to train the model, and the statistical assumptions you should be aware of when using this modeling technique. You will learn how to use L1 and L2 regularization with logistic regression to prevent overfitting and how to use the practice of cross-validation to decide the ...