Applied Text Mining in Python
Completed by DANIEL FOX
December 14, 2017
25 hours (approximately)
DANIEL FOX'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: Model Training
- Category: Unstructured Data
- Category: Data Manipulation
- Category: Data Processing
- Category: Data Preprocessing
- Category: Data Mining
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Supervised Learning
- Category: Text Mining
- Category: Data Cleansing
