Natural Language Processing Fundamentals with Python

 - Libraries:  nltk, spaCy, gensim, polyglot, and scikit-learn.   - Regular expressions and word tokenization  -  Topic Identification techniques for bag-of-words and Tf-idf with nltk and gensim  - Named Entity Recognition (NER) with nltk, polyglot and spaCy   - Supervised machine learning with scikit-learn with models such as the Multinomial Naive Bayes classifier.