Applied Text Mining in Python
Completed by DANIEL POVOLNY
June 25, 2018
25 hours (approximately)
DANIEL POVOLNY'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: Unsupervised Learning
- Category: Python Programming
- Category: Data Manipulation
- Category: Data Mining
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Model Training
- Category: Natural Language Processing
- Category: Data Processing
- Category: Applied Machine Learning
- Category: Feature Engineering
