Applied Text Mining in Python
Completed by Kuei-Po Huang
December 8, 2017
25 hours (approximately)
Kuei-Po Huang'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 Cleansing
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Text Mining
- Category: Data Preprocessing
- Category: Data Mining
- Category: Natural Language Processing
- Category: Supervised Learning
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Model Training
