Applied Text Mining in Python
Completed by Jonathan Kaija
January 14, 2018
25 hours (approximately)
Jonathan Kaija'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: Data Processing
- Category: Data Preprocessing
- Category: Data Mining
- Category: Text Mining
- Category: Supervised Learning
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Natural Language Processing
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Python Programming
