Applied Text Mining in Python
Completed by Thomas Frank Sebastian Büttner
February 24, 2018
25 hours (approximately)
Thomas Frank Sebastian Büttner'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 Preprocessing
- Category: Data Mining
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Data Manipulation
- Category: Data Processing
- Category: Feature Engineering
- Category: Text Mining
- Category: Supervised Learning
- Category: Python Programming
