From the course: Advanced NLP with Python for Machine Learning

Using the exercise files - Python Tutorial

From the course: Advanced NLP with Python for Machine Learning

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Using the exercise files

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- [Instructor] I've included some exercise files for this course so you can follow along yourself, and I highly recommend you do so. Particularly when it comes to learning through code, there's no substitute for actually writing the code and debugging it yourself. So, I highly encourage you to use the notebooks, write the code, tweak the code, and see how it changes things. Even purposely break it, so you understand the bounds and why it may or may not work. The exercise files are organized into folders, one for each chapter. Each chapter folder is organized into folders for each individual video. And within each video, you'll notice that there is a begin, and this is the notebook that you should start coding in, and an end, and this is just the completed notebook for reference. You'll notice that each Jupyter notebook is titled with chapter number, and then underscore, and then the video number. So here you'll find the notebook for chapter five, video one. We're also only using one data set for this entire course, so you'll find that data set in the data directory, as well. So you can run the notebooks as they are. Let's go ahead and launch one of these Jupyter notebooks. So you could just jump over to the terminal, navigate to whatever folder that contains your notebooks, and then just enter Jupyter notebook and it'll launch directly in your browser, and you can click through the file structure that we just covered. So now that you know what tools are required and how to use them, let's get started.

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