- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Natural Language Processing
- Data Manipulation
- Text Mining
- Classification Algorithms
- Feature Engineering
- Data Preprocessing
- Unsupervised Learning
- Pandas (Python Package)
- Python Programming
Applied Text Mining in Python
Completed by James Mou
August 22, 2019
25 hours (approximately)
James Mou'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
