- Supervised Learning
- Data Manipulation
- Text Mining
- Machine Learning Algorithms
- Natural Language Processing
- Unstructured Data
- Data Cleansing
- Data Processing
- Feature Engineering
- Unsupervised Learning
- Python Programming
Applied Text Mining in Python
Completed by Amine Chakib
September 3, 2020
25 hours (approximately)
Amine Chakib'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
