Natural Language Processing (Part 3)

Welcome to Part 3 of 5 part series on the course NLP with Python for Machine Learning Essential Training. From Part 1 and Part 2, we learned about the basics of NLP and Supplemental Data Cleaning. In this part, we will learn about Vectorizing Raw Data and will cover the following topics:

1. Count Vectorization
2. N-Gram
3. Term Frequency Inverse Document Frequency (TF-IDF)

To download the code, please click here

I hope you enjoy this.