- Unsupervised Learning
- Classification Algorithms
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Natural Language Processing
- Text Mining
- Python Programming
- Feature Engineering
- Data Preprocessing
- Data Manipulation
- Pandas (Python Package)
Applied Text Mining in Python
Completed by Jason Andrus (jkandrus)
July 21, 2018
25 hours (approximately)
Jason Andrus (jkandrus)'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
