- 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 Nily Gorin
March 12, 2022
25 hours (approximately)
Nily Gorin'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
