- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Pandas (Python Package)
- Data Manipulation
- Text Mining
- Python Programming
- Unsupervised Learning
- Natural Language Processing
- Classification Algorithms
- Data Preprocessing
- Feature Engineering
Applied Text Mining in Python
Completed by Juan Manuel Cedeno Torres
October 17, 2022
25 hours (approximately)
Juan Manuel Cedeno Torres'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
