Applied Text Mining in Python
Completed by Jakob Gobius du Sart
March 1, 2018
25 hours (approximately)
Jakob Gobius du Sart'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 Preprocessing
- Category: Applied Machine Learning
- Category: Data Cleansing
- Category: Supervised Learning
- Category: Text Mining
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Model Training
- Category: Python Programming
- Category: Data Mining
