From the course: Advanced NLP with Python for Machine Learning

What you should know - Python Tutorial

From the course: Advanced NLP with Python for Machine Learning

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What you should know

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- [Instructor] - Let's go over some assumptions about the background knowledge that will help you get the most out of this course. First, it'll be helpful if you have some entry-level Python knowledge, just some of the basics, like how it works, and some of the core syntax. Beyond that, having a basic understanding of some of the key concepts in natural language processing and machine learning will be helpful as we build on top of those basic building blocks. If you don't have any experience with NLP or machine learning, I'll be covering the basics in Chapter 1, but I'll be covering them fairly quickly. If you feel you need more thorough coverage, I would encourage you to take NLP with Python for Machine Learning: The Essentials or Applied Machine Learning: The Foundations, where we dive into the core concepts that this course will quickly review in Chapter 1, and then build on top of for the rest of this course. Lastly, it'll be helpful if you've had some experience with the NumPY, pandas and scikit-learn libraries, as we'll be relying on each of these fairly heavily throughout this course. Some experience handling data and doing some basic data analysis or data manipulation would also be helpful, but again, not required. Lastly, having some familiarity with key deep learning concepts would be helpful as this course is not focused on deep learning, but we will be using some deep learning techniques. If you don't have any familiarity, that should be just fine. We'll cover the basics very quickly.

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