Advanced NLP with Python for Machine Learning
With Derek Jedamski
Liked by 2,141 users
Duration: 2h 9m
Skill level: Advanced
Released: 8/10/2020
Course details
An incredible amount of unstructured text data is generated every day by social media, web pages, and a variety of other sources. But without the ability to tame and harness that data, you'll be unable to glean any value from it. In this course, learn how to translate messy text data into powerful insights using Python. Instructor Derek Jedamski begins
with a quick review of foundational NLP concepts, including how to clean text data and build a model on top of vectorized text. He then jumps into more complex topics such as word2vec, doc2vec, and recurrent neural networks. To wrap up the course, he lends these concepts a real-world context by applying them to a machine learning problem.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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SYED ABDUL BASIT ANDRABI (Ph.D)
SYED ABDUL BASIT ANDRABI (Ph.D)
Assistant Professor
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Rania Hamdy
Rania Hamdy
Data Analyst | Data scientists | Python developer with high expertise in Machine Learning | Deep Learning | Power BI
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Pranjal Mishra
Pranjal Mishra
Software Engineer @ EVERSANA | Ex-Intern Amazon | BTech in CSE NITP'23
Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 6 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units