Applied Text Mining in Python
Completed by Daniel Lee Wei Sheng
August 15, 2019
25 hours (approximately)
Daniel Lee Wei Sheng'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: Data Cleansing
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Python Programming
- Category: Data Manipulation
