Applied Text Mining in Python
Completed by Nestor Kervin Rabanal Medrano
October 14, 2018
25 hours (approximately)
Nestor Kervin Rabanal Medrano'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 Cleansing
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Data Preprocessing
- Category: Unstructured Data
- Category: Data Mining
- Category: Text Mining
- Category: Supervised Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Data Processing
