Processing Text with Python Essential Training
With Kumaran Ponnambalam
Liked by 479 users
Duration: 33m
Skill level: Intermediate
Released: 6/20/2019
Course details
In the world of big data, more and more information is consumed and analyzed in text form. Websites, social media, emails, and chats have become the key sources for data and insights. If you work with data, then understanding how to deal with unstructured text data is essential. In this course, instructor Kumaran Ponnambalam helps you build your text mining skill set, covering key techniques for extracting, cleansing, and processing text in Python. Kumaran reviews key text processing concepts like tokenization and stemming. He also looks at techniques for converting text into analytics-ready form, including n-grams and TF-IDF. Along the way, he provides examples of these techniques using Python and the NLTK library.
Skills you’ll gain
Meet the instructor
Learner reviews
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Shubham Yadav
Shubham Yadav
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Dwiksha Mondal
Dwiksha Mondal
Attended Institute Of Engineering and Management
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Kamran Haddadian
Kamran Haddadian
Data scientist with more than 10 years of experience in chemical process
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