Applied Text Mining in Python
Completed by Mauro Ezequiel Bordon
November 9, 2020
25 hours (approximately)
Mauro Ezequiel Bordon'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: Data Manipulation
- Category: Data Mining
- Category: Unstructured Data
- Category: Feature Engineering
- Category: Text Mining
- Category: Data Cleansing
- Category: Unsupervised Learning
- Category: Data Processing
- Category: Supervised Learning
- Category: Natural Language Processing
- Category: Model Training
