- Classification Algorithms
- Feature Engineering
- Supervised Learning
- Data Manipulation
- Data Preprocessing
- Natural Language Processing
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Pandas (Python Package)
- Text Mining
- Python Programming
Applied Text Mining in Python
Completed by Guilherme de Almeida Carvalho
May 12, 2020
25 hours (approximately)
Guilherme de Almeida Carvalho'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
