Applied Text Mining in Python
Completed by Kamil Kaczmarek
October 18, 2017
25 hours (approximately)
Kamil Kaczmarek'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
- Category: Text Mining
- Category: Supervised Learning
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Feature Engineering
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Model Training
