Natural Language Processing (NLP) with NLTK and Scikit-learn

About this course

Natural Language Processing (NLP) is the most interesting subfield of data science. It offers powerful ways to interpret and act on spoken and written language. It’s used to help deal with customer support enquiries, analyse how customers feel about a product, and provide intuitive user interfaces. If you wish to build high performing day-to-day apps by leveraging NLP, then go for this Learning Path.

This comprehensive 2-in-1 course teaches you to write applications using one of the popular data science concept, NLP. You will begin with building 3 NLP applications which are a spam filter, a topic classifier, and a sentiment analyzer. You will then learn how to use open source libraries such as NLTK, scikit-learn, and spaCy to perform routine NLP tasks backed by machine learning and NLP processing models with ease. You will be taken on a journey starting from the very basics such as using a corpus and regular expressions to learning advanced NLP concepts while simultaneously solving common NLP problems faced in your day-to-day tasks. You will learn all of these through practical demonstrations, clear explanations, and interesting real-world examples. This learning path will give you a versatile range of NLP skills, which you will put to work in your own applications.

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Hands-on NLP with NLTK and Scikit-learn, puts you right on the spot, starting off with building a spam classifier in our first video. You will then build three NLP applications: a spam filter, a topic classifier, and a sentiment analyzer. You will also be able to build actual solutions backed by machine learning and NLP processing models with ease.

The second course, Developing NLP Applications Using NLTK in Python, course is designed with advanced solutions that will take you from newbie to pro in performing natural language

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