NLP with Python for Machine Learning Essential Training
With Derek Jedamski
Liked by 8,374 users
Duration: 4h 14m
Skill level: Intermediate
Released: 3/23/2018
Course details
With the increased amount of data publicly available and the increased focus on unstructured text data, understanding how to clean, process, and analyze that text data is tremendously valuable. If you have some experience with Python and an interest in natural language processing (NLP), this course can provide you with the knowledge you need to tackle complex problems using machine learning. Instructor Derek Jedamski provides a quick summary of basic natural language processing (NLP) concepts, covers advanced data cleaning and vectorization techniques, and then takes a deep dive into building machine learning classifiers. During this last step, Derek shows how to build two different types of machine learning models, as well as how to evaluate and test variations of those models.
Skills you’ll gain
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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Prakash Kumar Pawar
Prakash Kumar Pawar
Senior Member Of Technical Staff at Mavenir | Python | Test Automation | ML | LTE | NR | CRAN | ORAN | Kubernetes | Docker |
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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