intermediateCertificate$25/mo
Introduction to Natural Language Processing in Python
by Katharine Jarmul · DataCamp
4.4(3,200 reviews)
80K+ enrolled4 hoursUpdated 2024-07
What You'll Learn
Understand the fundamentals and key concepts of NLP
Apply NLP techniques to solve real-world problems
Understand the fundamentals and key concepts of text classification
Apply text classification techniques to solve real-world problems
Understand the fundamentals and key concepts of NLTK
Apply NLTK techniques to solve real-world problems
About This Course
Process and analyze text data using NLTK, regex, bag-of-words, and TF-IDF for text classification and topic modeling.
Curriculum
Module 1: NLP & Text classification6 lessons
- Introduction to NLP
- NLP in Practice
- Hands-on Exercise: NLP
- Introduction to text classification
- Text classification in Practice
- Hands-on Exercise: Text classification
Module 2: NLTK & TF-IDF6 lessons
- Introduction to NLTK
- NLTK in Practice
- Hands-on Exercise: NLTK
- Introduction to TF-IDF
- TF-IDF in Practice
- Hands-on Exercise: TF-IDF
Module 3: Python3 lessons
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Instructor
Katharine Jarmul
Instructor at DataCamp
Pros & Cons
Pros
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Katharine Jarmul
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$25/mo
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