Learn the six assumptions of logistic regression, what violations look like, and how to fix them.

Learn what underfitting is in machine learning, why it happens, and how to fix it.

Explore seven essential statistical concepts that form the foundation of machine learning, from p-values to generalization theory.

Why is it essential to perform train-test splits to evaluate our models? That is what we will explore now.