Applied Text Mining in Python
Completed by Rafael Alberto Cejudo Podio
December 30, 2019
25 hours (approximately)
Rafael Alberto Cejudo Podio'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: Feature Engineering
- Category: Unstructured Data
- Category: Supervised Learning
- Category: Model Training
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Data Mining
- Category: Data Processing
- Category: Unsupervised Learning
- Category: Python Programming
