Applied Text Mining in Python
Completed by Luis Miguel Rivera Cumbicus
February 25, 2020
25 hours (approximately)
Luis Miguel Rivera Cumbicus'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: Applied Machine Learning
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Feature Engineering
- Category: Python Programming
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Cleansing
- Category: Data Processing
- Category: Data Manipulation
- Category: Unsupervised Learning
- Category: Supervised Learning
