- Natural Language Processing
- Feature Engineering
- Text Mining
- Unsupervised Learning
- Python Programming
- Supervised Learning
- Data Manipulation
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Pandas (Python Package)
- Data Preprocessing
Applied Text Mining in Python
Completed by DIEGO NOGUEIRA VILELA
April 12, 2020
25 hours (approximately)
DIEGO NOGUEIRA VILELA'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
