Applied Text Mining in Python
Completed by Daniele Mascali
May 2, 2020
25 hours (approximately)
Daniele Mascali'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 Preprocessing
- Category: Data Mining
- Category: Natural Language Processing
- Category: Feature Engineering
- Category: Unsupervised Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Text Mining
- Category: Supervised Learning
- Category: Model Training
