Applied Text Mining in Python
Completed by THOMAS LEMONNIER
September 1, 2020
25 hours (approximately)
THOMAS LEMONNIER'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: Unsupervised Learning
- Category: Unstructured Data
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Data Manipulation
- Category: Data Mining
- Category: Python Programming
- Category: Data Processing
- Category: Text Mining
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Model Training
