Applied Text Mining in Python
Completed by Daniel Cashion
November 27, 2018
25 hours (approximately)
Daniel Cashion'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: Text Mining
- Category: Supervised Learning
- Category: Unstructured Data
- Category: Data Preprocessing
- Category: Data Mining
- Category: Feature Engineering
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Data Cleansing
- Category: Unsupervised Learning
- Category: Data Manipulation
- Category: Data Processing
