Applied Text Mining in Python
Completed by Nolan Snell
October 25, 2017
25 hours (approximately)
Nolan Snell'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 Cleansing
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Data Preprocessing
- Category: Text Mining
- Category: Data Manipulation
- Category: Supervised Learning
- Category: Python Programming
- Category: Data Mining
- Category: Unsupervised Learning
- Category: Feature Engineering
