Applied Text Mining in Python
Completed by Joonsoo Kim
October 24, 2017
25 hours (approximately)
Joonsoo Kim'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: Text Mining
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Natural Language Processing
- Category: Classification Algorithms
- Category: Data Cleansing
- Category: Data Mining
- Category: Feature Engineering
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Unstructured Data
- Category: Model Training
