Applied Text Mining in Python
Completed by Daniel Kirel
August 11, 2017
25 hours (approximately)
Daniel Kirel'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: Text Mining
- Category: Applied Machine Learning
- Category: Data Cleansing
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Model Training
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Supervised Learning
