Applied Text Mining in Python
Completed by Kyle Drew Neal Saffy
January 14, 2020
25 hours (approximately)
Kyle Drew Neal Saffy'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 Mining
- Category: Unstructured Data
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Natural Language Processing
- Category: Classification Algorithms
- Category: Data Preprocessing
- Category: Text Mining
- Category: Supervised Learning
- Category: Feature Engineering
- Category: Unsupervised Learning
- Category: Python Programming
