This task is about developing a statistical model for the data. This is serious business, and the work you do here will be the foundation of your project. The basic goal of this task is to build an n-gram model, which will allow you to predict a word given the previous one, two, or maybe three words. Now, this will be based on combinations of words that you observe in your data set. however, sometimes people will want to type combinations of words that you've never seen before, even in your massive data set. And so you're going to have to figure out a way to handle these cases when they come up. We've put some links in the task description to help you get started about thinking about these problems. But of course, we encourage you to do your own research and see what you can find out there. A couple of things to keep in mind. First is yo, you're going to have to think about a way to evaluate the performance of your model, in terms of its accuracy in predicting words. Also, you want to keep in mind the overall performance of your, of your algorithm and so that it runs in a reasonable amount of time without taking too many, taking up too many resources like memory. Good luck with this task. We look forward to seeing what you can come up with.