Applied Text Mining in Python
Completed by Edouard Lansiaux
November 12, 2024
25 hours (approximately)
Edouard Lansiaux'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: Supervised Learning
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Processing
- Category: Unstructured Data
- Category: Data Manipulation
- Category: Model Training
- Category: Python Programming
- Category: Feature Engineering
- Category: Unsupervised Learning
- Category: Data Cleansing
