Welcome to this section on supervised learning algorithms. Now a supervised learning algorithm is a very special type and it's one of the most popular types of algorithms when you're building out your own data science and machine learning projects.

I'm excited to finally get into the algorithm so we can see how machine learning can allow you to build some pretty amazing and intelligent behavior into your own programs.

In this guide, we're going to dive into the kNN machine learning algorithm. Now kNN represents the term K nearest neighbors. Hopefully, this name by the end of this guide is going to make a lot of sense to you because the nearest neighbors name actually represents a summary for every single component of the entire algorithm.

The next stop on our journey through classification algorithms in machine learning is the SVM algorithm and that is an acronym for support vector machines.

So far in this section of the course we have focused on what are called shallow learning algorithms and we're going to transition in this guide and we're going to discuss one of the most powerful tools that you can have in your machine learning arsenal and that is the neural network.

In this section of the course we've focused on supervised learning algorithms and for the first half of this section we've focused specifically on classification algorithms.

In this lesson, we're going to walk through the logistic regression algorithm. In the machine learning space, logistic regression has been one of the favorite algorithms that many machine learning developers and data scientists turn to when they're looking to model out some type of system.

In this lesson, we're going to walk through the decision tree algorithm and this is one of my favorite machine learning algorithms to work with and there are a number of reasons why.