- Supervised Learning
- Data Manipulation
- Text Mining
- Machine Learning Algorithms
- Natural Language Processing
- Unstructured Data
- Data Cleansing
- Data Processing
- Feature Engineering
- Unsupervised Learning
- Python Programming
Applied Text Mining in Python
Completed by Peter Belanger
February 25, 2018
25 hours (approximately)
Peter Belanger'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
