Applied Text Mining in Python
Completed by Xinyue Yang
November 24, 2019
25 hours (approximately)
Xinyue Yang'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 Manipulation
- Category: Data Mining
- Category: Data Processing
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Data Preprocessing
- Category: Unstructured Data
- Category: Python Programming
- Category: Model Training
- Category: Data Cleansing
- Category: Feature Engineering
- Category: Unsupervised Learning
