Packt Publishing
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.
Instructor Details
Courses : 212
Specification: Natural Language Processing (NLP) with NLTK and Scikit-learn
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4 reviews for Natural Language Processing (NLP) with NLTK and Scikit-learn
Add a review
| Price | $14.99 |
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| Provider | |
| Duration | 4 hours |
| Year | 2018 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Christopher Ifeanyi Eke –
Yes but I need hands on exercise in order to practice whatever I learn in each step
Utkarsh Sinha –
A very enlightening course! It’s taught in a very academic style, with correct references. Concepts make sense because they are always taught in a manner that will directly help the learner with their projects. I highly appreciate and recommend this course.
Denis Luiz Marcello Owa –
The course is comprehensive and teaches many concepts from NLTK and Scikit learn. But you need to have a background, because the videos are short and you have to refer to the NLTK and Scikit learn APIs all the time.
Guillaume Perucha –
The course is very good in its structure. It explains each step of NLP clearly, but I believe that it is good to have some notion of NLP before taking the course. Each lesson is a short video that force you to do your own researches in order to understand correctly. It can be difficult for some people, but it works best for me as I understand better when doing my own researches. One downside is that the first videos are not in the good order, and the video 6 is actually the first video of the series. It was confusing for this reason. Also, the sound could be improved, and for this reason it would be good to have a correct transcript as it can be sometimes difficult to understand at least for a non native English speaker. Overall good course!