- Data Cleansing
- Natural Language Processing
- Data Manipulation
- Supervised Learning
- Data Processing
- Feature Engineering
- Unstructured Data
- Text Mining
- Machine Learning Algorithms
- Python Programming
- Unsupervised Learning
Applied Text Mining in Python
Completed by Swapnil Rameshrao Khandare
February 7, 2019
25 hours (approximately)
Swapnil Rameshrao Khandare'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
