Applied Text Mining in Python
Completed by Daniel Cashion
November 27, 2018
25 hours (approximately)
Daniel Cashion'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 Preprocessing
- Category: Data Mining
- Category: Applied Machine Learning
- Category: Unstructured Data
- Category: Data Cleansing
- Category: Data Processing
- Category: Model Training
- Category: Data Manipulation
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Supervised Learning
