What you would learn in Natural Language Processing with Python course?
NLP terminology used in the industry Text preprocessing techniques Named entity recognition Term frequency Dependency parsing Part-of-Speech tagging You’ll gain hands-on experience with each concept by analyzing 500 Amazon Home and Kitchen product reviews.
If you’ve ever wanted to learn how to analyze text data with Python, this course is for you!
Leah is a Data Scientist at a large financial institution and discovered there is a serious gap between the skills and techniques students learn in school versus what they actually need on the job in the real world. She'll use her expertise to teach you the foundations of natural language processing (NLP).
This course is intended for aspiring data scientists and programmers looking to expand their knowledge of NLP.
Throughout the course, you’ll walk through code examples in Python using a Jupyter Notebook. You’ll also utilize popular libraries such as pandas, spaCy, and scikit-learn. No prior knowledge of NLP is needed for this course; however, a working knowledge of basic programming concepts (functions, for loops, etc.) and intermediate Python skills are recommended.
Download Natural Language Processing with Python from below links NOW!
Write your comment!
Access Permission Error
You do not have access to this product!
Dear User! To download this file(s) you need to purchase this product or subscribe to one of our VIP plans.