- Natural Language Processing
- Unstructured Data
- Unsupervised Learning
- Python Programming
- Feature Engineering
- Data Manipulation
- Data Cleansing
- Data Processing
- Machine Learning Algorithms
- Text Mining
- Supervised Learning
Applied Text Mining in Python
Completed by Zhanibek Darimbekov
March 19, 2019
25 hours (approximately)
Zhanibek Darimbekov'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
