Applied Text Mining in Python
Completed by Brandon Michael Veremis
April 6, 2019
25 hours (approximately)
Brandon Michael Veremis'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: Natural Language Processing
- Category: Text Mining
- Category: Supervised Learning
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Python Programming
- Category: Data Mining
- Category: Unsupervised Learning
- Category: Data Manipulation
