Be taught Natural Language Processing (NLP) and its Python Implementation. Construct NLP fashions.

Description

Welcome to the touchdown web page of Python for Natural Language Processing (NLP) course. This course is constructed for college students who wish to be taught NLP ideas in Python. Course begins with the repeat of the Python Fundamentals. After it textual content strategies and pandas library is roofed within the course. Textual content strategies will likely be useful when we’re going to be constructing Natural Language Processing initiatives. We are going to use pandas library for studying and analyzing our information units. After it we’ll cowl some fatures of spaCy library like a part of speech tagging, tokenization and named entity recognition. spaCy with NLTK are the each hottest Python libraries for Natural Language Processing. After overlaying that ideas we’ll transfer into analysis of mannequin performances part and there we will likely be studying how the NLP fashions will likely be evaluated. After that job we’ll see Sentiment Evaluation and Textual content Classification and we’ll make examples of them. On the ultimate lectures of the course we’ll construct a Natural Language Processing venture from stratch with what we realized via the course and we’ll end. On the entire course course of and after it, college students can attain to me in regards to the course ideas by way of Q&A piece of the course or direct messages on Udemy. Thanks for visiting course web page and studying course description.

Who this course is for:

  • Individuals who is concerned with Knowledge Science and desires to be taught Natural Language Processing (NLP)
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