Applied Text Mining in Python
Completed by XENOFON PSYCHIS- FILIS
March 7, 2018
25 hours (approximately)
XENOFON PSYCHIS- FILIS'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: Classification Algorithms
- Category: Natural Language Processing
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Text Mining
- Category: Data Preprocessing
- Category: Data Manipulation
- Category: Model Training
- Category: Unstructured Data
- Category: Data Processing
- Category: Data Mining
