- Scikit Learn (Machine Learning Library)
- Python Programming
- Feature Engineering
- Data Manipulation
- Natural Language Processing
- Data Preprocessing
- Pandas (Python Package)
- Classification Algorithms
- Unsupervised Learning
- Text Mining
- Supervised Learning
Applied Text Mining in Python
Completed by Neha Jhamb
November 19, 2024
25 hours (approximately)
Neha Jhamb's account is verified. Coursera certifies their successful completion of Applied Text Mining in Python
What you will learn
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Skills you will gain
