Applied Text Mining in Python
Completed by Athanasios Kontogiannis
September 13, 2024
25 hours (approximately)
Athanasios Kontogiannis'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: Model Training
- Category: Unstructured Data
- Category: Data Cleansing
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Processing
- Category: Text Mining
- Category: Supervised Learning
- Category: Unsupervised Learning
