Applied Text Mining in Python
Completed by David Lee Miller
October 18, 2018
25 hours (approximately)
David Lee Miller'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 Cleansing
- Category: Applied Machine Learning
- Category: Natural Language Processing
- Category: Data Preprocessing
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Data Manipulation
- Category: Data Processing
