Applied Text Mining in Python
Completed by Mauro Ezequiel Bordon
November 9, 2020
25 hours (approximately)
Mauro Ezequiel Bordon'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: Python Programming
- Category: Model Training
- Category: Data Mining
- Category: Applied Machine Learning
- Category: Data Cleansing
- Category: Feature Engineering
- Category: Unsupervised Learning
- Category: Supervised Learning
- Category: Data Processing
- Category: Natural Language Processing
- Category: Classification Algorithms
- Category: Data Preprocessing
