Applied Text Mining in Python
Completed by Julian Cruz Rojas
April 23, 2024
25 hours (approximately)
Julian Cruz Rojas'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 Processing
- Category: Model Training
- Category: Unstructured Data
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Manipulation
- Category: Feature Engineering
- Category: Python Programming
- Category: Text Mining
