Applied Text Mining in Python
Completed by Clemens Fiedler
December 26, 2017
25 hours (approximately)
Clemens Fiedler'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 Cleansing
- Category: Data Preprocessing
- Category: Data Mining
- Category: Feature Engineering
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Data Manipulation
- Category: Model Training
- Category: Unstructured Data
- Category: Text Mining
- Category: Supervised Learning
