- Supervised Learning
- Text Mining
- Data Manipulation
- Machine Learning Algorithms
- Data Cleansing
- Natural Language Processing
- Unstructured Data
- Unsupervised Learning
- Feature Engineering
- Python Programming
- Data Processing
Applied Text Mining in Python
Completed by Leonardo Miguel Ulloa
December 14, 2020
25 hours (approximately)
Leonardo Miguel Ulloa'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
