- Text Mining
- Data Manipulation
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Pandas (Python Package)
- Natural Language Processing
- Feature Engineering
- Data Preprocessing
- Supervised Learning
- Python Programming
- Classification Algorithms
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
