Applied Text Mining in Python
Completed by Peter Bösenberg
November 29, 2019
25 hours (approximately)
Peter Bösenberg'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: Classification Algorithms
- Category: Text Mining
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Model Training
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Unstructured Data
- Category: Data Manipulation
- Category: Natural Language Processing
