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QUASAR PROUDLY PRESENTS

Processing Text with Python Essential Training
(c) Linkedin Learning

Supplier . : QUASAR       Size ..... : 2 x 50MB
Cracker .. : QUASAR
Packager . : QUASAR       Type ..... : Brain Enhancement
Date ..... : 06-20-2019   OS ....... : Win/Mac

Processing Text with Python Essential Training
with Kumaran Ponnambalam

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.
Topics include:
- Text mining today
- Reading text files using Python
- Cleansing text data
- Build n-grams databases for text predictions
- Preparing TF-IDF matrices for machine learning
- Scaling text processing for performance

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THE ALMIGHTY QUASAR   2019