What is Natural Language Processing - NLP Full Course

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.

Introduction
What is NLP
NLP Roadmap
What is Python
Benefits of Python
Python Libraries
Data Preprocessing
Types of Document
Google Collab
Read PDF
Data Pre Processing
Imputation Techniques
Tokenization
Why tokenization
Line tokenization
What is steaming
Why do we need stemming
Limitization
Semi and Limitization
What are Stop Words
How to remove Stop Words
Bag of Words
TFIDF
What is Machine Learning
Machine Learning Cycle
Types of Machine Learning
Logistic Regression
Sentiment Analysis
Project Introduction