- Data Preprocessing
- Scikit Learn (Machine Learning Library)
- Natural Language Processing
- Pandas (Python Package)
- Feature Engineering
- Supervised Learning
- Data Manipulation
- Text Mining
- Unsupervised Learning
- Python Programming
- Classification Algorithms
Applied Text Mining in Python
Completed by Mohamed Yassine Sfaihi
October 14, 2021
25 hours (approximately)
Mohamed Yassine Sfaihi'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
