Requirements
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No knowledge required. Just willingness to learn is enough.
Description
Welcome to the landing
page of Python for Natural Language Processing (NLP) course. This course is
built for students who want to learn NLP concepts in Python. Course starts with
the repeat of the Python Fundamentals. After it text methods and pandas library
is covered in the course. Text methods will be helpful when we are going to be
building Natural Language Processing projects. We will use pandas library for
reading and analyzing our data sets. After it we will cover some fatures of
spaCy library like part of speech tagging, tokenization and named entity
recognition. spaCy with NLTK are the both most popular Python libraries for
Natural Language Processing. After covering that concepts we will move
into evaluation of model performances section and there we will be learning how
the NLP models will be evaluated. After that task we will see Sentiment
Analysis and Text Classification and we will make examples of them. At the
final lectures of the course we will build a Natural Language Processing
project from stratch with what we learned through the course and we will
finish. At the whole course process and after it, students can reach to me
about the course concepts via Q&A section of the course or direct messages
on Udemy. Thanks for visiting course page and reading course description.
Who this course is for:
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People who is interested in Data Science and wants to learn
Natural Language Processing (NLP)
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