Applied Text Mining in Python
Completed by Thomas Ambrose
May 2, 2024
25 hours (approximately)
Thomas Ambrose'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 Cleansing
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Applied Machine Learning
- Category: Text Mining
- Category: Supervised Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Data Preprocessing
- Category: Data Mining
- Category: Model Training
