- Supervised Learning
- Unsupervised Learning
- Pandas (Python Package)
- Natural Language Processing
- Data Preprocessing
- Text Mining
- Python Programming
- Feature Engineering
- Data Manipulation
- Scikit Learn (Machine Learning Library)
- Classification Algorithms
Applied Text Mining in Python
Completed by Javier Alfonso Moreno Carrillo
November 25, 2020
25 hours (approximately)
Javier Alfonso Moreno Carrillo'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
