From the course: NLP with Python for Machine Learning Essential Training

Using the exercise files - Python Tutorial

From the course: NLP with Python for Machine Learning Essential Training

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Using the exercise files

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- [Instructor] You will have access to all the exercise files for this course so that you can follow along yourself and I highly recommend that you do so. Particularly when it comes to writing code, there is 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 the code so that you can 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 lesson and within each lesson you'll notice that there's a start and this is the notebook that you should start coding in, and then there's an end and this is the final completed notebook for reference. You'll notice that each Jupiter notebook is titled with a chapter number and then underscore and then a lesson number. So here you'll find the notebook for chapter two, lesson two. We're only using one dataset for this entire course, so you'll find that dataset included in each folder as well so that you can run the notebooks as they are. All right, let's get started.

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