- Natural Language Processing
- Unsupervised Learning
- Pandas (Python Package)
- Data Preprocessing
- Scikit Learn (Machine Learning Library)
- Classification Algorithms
- Python Programming
- Feature Engineering
- Supervised Learning
- Data Manipulation
- Text Mining
Applied Text Mining in Python
Completed by Jonathan Mendieta
August 27, 2017
25 hours (approximately)
Jonathan Mendieta'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
