Applied Text Mining in Python
Completed by Martin Schmidt
November 13, 2017
25 hours (approximately)
Martin Schmidt'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: Applied Machine Learning
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Data Cleansing
- Category: Supervised Learning
- Category: Text Mining
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Processing
- Category: Feature Engineering
- Category: Unsupervised Learning
- Category: Python Programming
