- Data Preprocessing
- Supervised Learning
- Pandas (Python Package)
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- Data Manipulation
- Natural Language Processing
- Python Programming
- Classification Algorithms
- Unsupervised Learning
- Text Mining
Applied Text Mining in Python
Completed by Pierre LeBlanc
February 3, 2020
25 hours (approximately)
Pierre LeBlanc'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
