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: Text Mining
- Category: Model Training
- Category: Data Mining
- Category: Data Cleansing
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Unstructured Data
- Category: Data Processing
- Category: Unsupervised Learning
- Category: Data Manipulation
