Natural Language Processing:Concept along with Case Study



  • Basic Understanding of Python
  • One Laptop with Python IDE installed
  • Understanding of Machine learning will be helpful in Case Study however not mandatory

This course provides a basic understanding of NLP. Anyone can opt for this course. No prior understanding of NLP is required.  Text Processing like Tokenization, Stop Words Removal, Stemming, different types of Vectorizers, WSD, etc are explained in detail with python code. Also difference between CountVectorizer and Hashing in Spam Filter.

Who this course is for:
  • People willing to learn NLP and looking forward to build career in Machine Learning.
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