- Natural Language Processing
- Classification Algorithms
- Data Manipulation
- Pandas (Python Package)
- Scikit Learn (Machine Learning Library)
- Python Programming
- Text Mining
- Unsupervised Learning
- Feature Engineering
- Supervised Learning
- Data Preprocessing
Applied Text Mining in Python
Completed by LINLIN LI
February 19, 2024
25 hours (approximately)
LINLIN LI'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
