- Natural Language Processing
- Scikit Learn (Machine Learning Library)
- Data Manipulation
- Python Programming
- Pandas (Python Package)
- Supervised Learning
- Classification Algorithms
- Data Preprocessing
- Text Mining
- Unsupervised Learning
- Feature Engineering
Applied Text Mining in Python
Completed by Samuel Fiifi Asante Danso
October 14, 2019
25 hours (approximately)
Samuel Fiifi Asante Danso'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
