Applied Text Mining in Python
Completed by John Berkowitz
December 11, 2017
25 hours (approximately)
John Berkowitz'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
- Category: Supervised Learning
- Category: Text Mining
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Unsupervised Learning
- Category: Model Training
- Category: Unstructured Data
- Category: Data Mining
- Category: Feature Engineering
- Category: Python Programming
- Category: Data Processing
- Category: Data Manipulation
