- Supervised Learning
- Data Preprocessing
- Pandas (Python Package)
- Text Mining
- Unsupervised Learning
- Feature Engineering
- Classification Algorithms
- Natural Language Processing
- Python Programming
- Scikit Learn (Machine Learning Library)
- Data Manipulation
Applied Text Mining in Python
Completed by Juan Carlos Rios Reynoso
September 19, 2021
25 hours (approximately)
Juan Carlos Rios Reynoso'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
