- Natural Language Processing
- Data Processing
- Machine Learning Algorithms
- Data Cleansing
- Text Mining
- Data Manipulation
- Unsupervised Learning
- Unstructured Data
- Feature Engineering
- Python Programming
- Supervised Learning
Applied Text Mining in Python
Completed by Julio Torres
October 10, 2019
25 hours (approximately)
Julio Torres'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
