- Unsupervised Learning
- Python Programming
- Classification Algorithms
- Supervised Learning
- Feature Engineering
- Pandas (Python Package)
- Text Mining
- Natural Language Processing
- Data Manipulation
- Data Preprocessing
- Scikit Learn (Machine Learning Library)
Applied Text Mining in Python
Completed by Dinesh Kumar Chinnasamy
June 7, 2020
25 hours (approximately)
Dinesh Kumar Chinnasamy'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
