- Data Manipulation
- Feature Engineering
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Pandas (Python Package)
- Supervised Learning
- Natural Language Processing
- Classification Algorithms
- Python Programming
- Text Mining
- Data Preprocessing
Applied Text Mining in Python
Completed by Julian Andres Vargas
August 23, 2020
25 hours (approximately)
Julian Andres Vargas'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
