Applied Text Mining in Python
Completed by Diego Edgardo Karam
March 12, 2019
25 hours (approximately)
Diego Edgardo Karam'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 Mining
- Category: Python Programming
- Category: Data Cleansing
- Category: Data Preprocessing
- Category: Text Mining
- Category: Unsupervised Learning
- Category: Data Manipulation
- Category: Model Training
- Category: Unstructured Data
- Category: Data Processing
- Category: Supervised Learning
- Category: Applied Machine Learning
