Applied Text Mining in Python
Completed by Ray Franco Gonzaga Rivera
February 14, 2019
25 hours (approximately)
Ray Franco Gonzaga Rivera'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
