- Python Programming
- Pandas (Python Package)
- Natural Language Processing
- Unsupervised Learning
- Supervised Learning
- Data Preprocessing
- Scikit Learn (Machine Learning Library)
- Data Manipulation
- Text Mining
- Feature Engineering
- Classification Algorithms
Applied Text Mining in Python
Completed by Prasad Vijayakumar Jayasree
December 19, 2018
25 hours (approximately)
Prasad Vijayakumar Jayasree'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
