Applied Text Mining in Python
Completed by David Jiménez Pérez
May 20, 2020
25 hours (approximately)
David Jiménez Pérez'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: Data Preprocessing
- Category: Data Mining
- Category: Unstructured Data
- Category: Model Training
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Classification Algorithms
