Applied Text Mining in Python
Completed by Diego Armando Zambrana Arze
March 4, 2019
25 hours (approximately)
Diego Armando Zambrana Arze'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: Supervised Learning
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Unstructured Data
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Text Mining
- Category: Data Preprocessing
- Category: Data Mining
- Category: Feature Engineering
- Category: Python Programming
- Category: Unsupervised Learning
