Overview of the process

- [Instructor] Welcome back … to the final chapter of this course, … where we're actually going to dive in and get our hands dirty … by building an end to end machine learning pipeline. … Before we dive into the code, … I first want to lay out the high level process … that we'll walk through in the next few lessons. … Nothing here should surprise you. … We've talked about every component so far, … this is just pulling all the pieces together, and aligning … on what the rest of this chapter will look like. … You should be familiar with this diagram … that we looked at previously. … We have our training set … that represents 60 percent of the full data set, … and that's split into 5 segments … for the purpose of fivefold cross-validation. … Then we have our validation set, … which represents 20 percent of our data. … And lastly, we have our test dataset, … which represents the final 20 percent of our full dataset. … The first step is going to be exploring the data … to really understand the type of features we have, …