- Unsupervised Learning
- Classification Algorithms
- Text Mining
- Python Programming
- Scikit Learn (Machine Learning Library)
- Data Manipulation
- Supervised Learning
- Pandas (Python Package)
- Feature Engineering
- Natural Language Processing
- Data Preprocessing
Applied Text Mining in Python
Completed by Jorge Baena MartÃnez
April 24, 2024
25 hours (approximately)
Jorge Baena MartÃnez'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
