Applied Text Mining in Python
Completed by Jean Paul Panchana Espinoza
June 15, 2019
25 hours (approximately)
Jean Paul Panchana Espinoza'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: Data Preprocessing
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Applied Machine Learning
- Category: Data Mining
- Category: Model Training
- Category: Unstructured Data
- Category: Text Mining
- Category: Supervised Learning
- Category: Data Processing
- Category: Data Manipulation
