Summary

In this chapter, we thoroughly studied the logistic regression classifier and corresponding classification task concepts. Then, we built a naïve Bayes classifier from scratch. In the last part of this chapter, we discussed the concepts of underfitting and overfitting, and used sklearn to use cross-validation functions.

In the next chapter, we are going to study another big branch of machine learning models, tree-based models.