- Python Programming
- Feature Engineering
- Supervised Learning
- Unsupervised Learning
- Text Mining
- Natural Language Processing
- Classification Algorithms
- Data Preprocessing
- Data Manipulation
- Pandas (Python Package)
- Scikit Learn (Machine Learning Library)
Applied Text Mining in Python
Completed by Cason Konzer
May 28, 2022
25 hours (approximately)
Cason Konzer'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
