Text Analytics and Predictions with Python Essential Training
With Kumaran Ponnambalam
Liked by 783 users
Duration: 35m
Skill level: Intermediate
Released: 6/19/2019
Course details
Text is a rich source of insights for businesses. Websites, social media, emails, and chats all contain valuable customer data. But to reap the rewards, you need to be able to analyze large amounts of unstructured text. Text mining is an essential skill for anyone working in big data and data science. This course teaches text-mining techniques to extract, cleanse, and process text using Python and the scikit-learn and nltk libraries. Kumaran Ponnambalam explains how to perform text analytics using popular techniques like word cloud and sentiment analysis. He then shows how to make predictions with text data using clustering, classification, and recommendations—otherwise known as predictive text. Along the way, he introduces important text analytics concepts such as lemmatization and n-grams.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
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Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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