- Text Mining
- Classification Algorithms
- Unsupervised Learning
- Data Manipulation
- Data Preprocessing
- Scikit Learn (Machine Learning Library)
- Natural Language Processing
- Pandas (Python Package)
- Python Programming
- Feature Engineering
- Supervised Learning
Applied Text Mining in Python
Completed by Sarthak Bhargava
April 5, 2020
25 hours (approximately)
Sarthak Bhargava'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
