When training complex machine learning models, regularization techniques are important to prevent overfitting. Two common types of regularization are L1 and L2. In this post, we'll compare L1 and L2 Regularization and see how they can be applied. Why Use Regularization? Many machine learning models have a large

When training machine learning models, we aim to find the optimal level of model complexity that enables accurate predictions on new, unseen data. Underfitting and overfitting describe two scenarios that can occur when model complexity is not properly tuned. Why Care About Underfitting and Overfitting? Underfitting and overfitting relate to