- Data Manipulation
- Python Programming
- Data Preprocessing
- Pandas (Python Package)
- Natural Language Processing
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Text Mining
- Unsupervised Learning
- Feature Engineering
Applied Text Mining in Python
Completed by Nathalie Geovanna Pelaez
June 21, 2020
25 hours (approximately)
Nathalie Geovanna Pelaez'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
