Applied Text Mining in Python
Completed by Carlos Perez Gonzalez
August 19, 2017
25 hours (approximately)
Carlos Perez Gonzalez'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: Data Manipulation
- Category: Data Processing
- Category: Classification Algorithms
- Category: Model Training
- Category: Unstructured Data
- Category: Natural Language Processing
- Category: Applied Machine Learning
- Category: Text Mining
- Category: Supervised Learning
- Category: Data Preprocessing
- Category: Data Mining
- Category: Unsupervised Learning
