Applied Text Mining in Python
Completed by Adrian Grover
February 9, 2019
25 hours (approximately)
Adrian Grover'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: Unsupervised Learning
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Supervised Learning
- Category: Natural Language Processing
- Category: Applied Machine Learning
- Category: Text Mining
- Category: Feature Engineering
- Category: Classification Algorithms
- Category: Data Mining
- Category: Python Programming
- Category: Unstructured Data
