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Natural Language Processing with Python

Course Reviews

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Develop Python scripts for natural language processing tasks using NLTK and other libraries
  • Implement text preprocessing techniques like tokenization, stemming, and lemmatization for NLP projects
  • Analyze unstructured text data to extract meaningful insights and patterns in Python
  • Build practical NLP applications such as sentiment analysis, text classification, and language modeling

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Lessons | 4


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Excellent
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medium
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4.1
82 Reviews
Fatima Syeda 

The course was well-structured and easy to follow, with clear explanations and practical examples. The content helped strengthen my conceptual understanding and provided useful foundational knowledge. The short lessons and quizzes supported effective learning. Overall, it was a valuable learning experience and beneficial for skill development.
2026-01-12

S. Mohanakumar 

Good
2026-01-08

Veda M C 

Excellent
2025-12-11

Meenakshi Nh 

Good
2025-12-11

Kenchamma E 

Good
2025-11-23

Amitesh Nitesh Sharma 

very good
2025-11-06

Kotra Ramya nagasri 

nice
2025-10-30

VENILA BADUGU 

NICWE
2025-10-16

Poornima J B Tech CSE 

good
2025-10-13

Amulya S 

Good
2025-10-12

Bindu.H.N 

Good
2025-10-09

Bhavana V BTECH CSE 

good
2025-10-09

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Natural language processing (NLP) is a field that focuses on making natural human language usable by computer programs. NLTK, or Natural Language Toolkit, is a Python package that you can use for NLP. A lot of the data that you could be analyzing is unstructured data and contains human-readable text .