Online NLP Free Course with Certificate
Introduction to Natural Language Processing
Enhance your AI expertise by enrolling in the free NLP Course, covering essential topics such as Data Pre-processing, NLP Modeling Techniques. Acquire in-demand skills through this comprehensive natural language processing course.
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About this Course
This free NLP course starts by introducing you to NLP and Python. You will learn about data pre-processing and learn to work with different types of documents using Python. You will understand tokenization, its needs, and its implementation through this NLP course. You will go through a hands-on session online and word tokenization implementation using Python programming. Understand stemming, lemmatization, and stopwords better with the hands-on sessions on their implementation using Python.
You will learn about the bag of words and TF-IDF models and comprehend word embedding. In this free Introduction to NLP course, you will then learn about Machine Learning, logistic regression, and sentiment analysis. You will go through a thorough demo on sentiment analysis and learn about TextBlob. Learn TextBlob, and its functionalities and go through TextBlob sentiment analysis. Lastly, you will go through U-Net, semantic segmentation, and their demo. Enroll in this free Introduction to Natural Language Processing course and complete the quiz at the end to earn a free certificate of course completion.
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Course Outline
In this module, you will get introduced to NLP and its various popular examples. You will go through the roadmap to learn NLP and understand the implementation of the technique through Python.
In this module, you will learn Python and comprehend why its chosen for the implementation of NLP. You will learn about the Python programming language’s benefits and its important libraries.
This module helps you comprehend what data is and how to work with different types of documents using Python programming language. You will then understand data pre-processing through the Python hands-on session and understand the types of data pre-processing.
In this module of the NLP course, you will learn tokenization and understand why you need tokenization. You will then go through a demo on implementing tokenization using Python. You will implement line and word tokenization using Python programming language.
In this module, you will learn stemming and understand the need for stemming. You will also go through a hands-on session on implementing stemming using Python programming language.
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