Applied Text Mining in Python
Completed by Francois-Xavier Adam
December 4, 2018
25 hours (approximately)
Francois-Xavier Adam '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: Model Training
- Category: Data Preprocessing
- Category: Data Mining
- Category: Unsupervised Learning
- Category: Unstructured Data
- Category: Classification Algorithms
- Category: Text Mining
- Category: Feature Engineering
- Category: Natural Language Processing
- Category: Data Manipulation
- Category: Data Processing
- Category: Python Programming
