Applied Text Mining in Python
Completed by Charles Randall Shoemaker
September 28, 2018
25 hours (approximately)
Charles Randall Shoemaker'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: Feature Engineering
- Category: Unsupervised Learning
- Category: Text Mining
- Category: Data Processing
- Category: Supervised Learning
- Category: Model Training
- Category: Data Preprocessing
- Category: Classification Algorithms
- Category: Data Mining
- Category: Data Cleansing
- Category: Applied Machine Learning
- Category: Natural Language Processing
