This course offers a fundamental understanding of NLP. Anyone can go for this course. Prior understanding of Machine Learning is nice to have. However, for individuals who don;t know Machine Learning, I have added sections for Machine Learning. Text Processing like Tokenization, Stop Words Removal, Stemming, several types of Vectorizers, WSD, and so on are defined intimately with python code. Also distinction between CountVectorizer and Hashing in Spam Filter.
Below Topics are lined
Chapter – Introduction to Natural Language Processing (NLP)
– NLP functions
– Machine Learning – Steps
Chapter – Setup Environment
– Installing Anaconda, use Spyder and Jupiter Notebook