Applied Text Mining in Python
Completed by Christofer Butterfield
May 31, 2018
25 hours (approximately)
Christofer Butterfield'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: Classification Algorithms
- Category: Natural Language Processing
- Category: Unstructured Data
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Text Mining
- Category: Data Preprocessing
- Category: Data Mining
- Category: Feature Engineering
- Category: Python Programming
- Category: Unsupervised Learning
