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1
Introduction
2
What is NLP
3
NLP Roadmap
4
What is Python
5
Benefits of Python
6
Python Libraries
7
Data Preprocessing
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Types of Document
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Google Collab
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Read PDF
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Data Pre Processing
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Imputation Techniques
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Tokenization
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Why tokenization
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Line tokenization
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What is steaming
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Why do we need stemming
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Limitization
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Semi and Limitization
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What are Stop Words
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How to remove Stop Words
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Bag of Words
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TFIDF
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What is Machine Learning
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Machine Learning Cycle
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Types of Machine Learning
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Logistic Regression
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Sentiment Analysis
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Project Introduction
Description:
Embark on a comprehensive 8-hour journey into Natural Language Processing (NLP), exploring its fundamentals and advanced applications. Begin with the basics of NLP and Python, then delve into data preprocessing techniques, tokenization, stemming, and stop word removal. Learn about Bag of Words, TF-IDF, and machine learning concepts, including logistic regression and sentiment analysis. Apply your knowledge to build recommendation engines and chatbots using Python. Gain practical experience through hands-on projects and assignments, supplemented with quizzes to reinforce your understanding. By the end of this tutorial, acquire the skills to leverage NLP for various artificial intelligence applications in text and speech processing.

What is Natural Language Processing - NLP Full Course

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