Applied Text Mining in Python
Completed by Matias Daniel Fernandez Manrique
August 25, 2017
25 hours (approximately)
Matias Daniel Fernandez Manrique'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: Applied Machine Learning
- Category: Data Cleansing
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Supervised Learning
- Category: Text Mining
- Category: Data Mining
- Category: Feature Engineering
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Model Training
