Applied Text Mining in Python
Completed by Jesus Samuel Ortiz Ibara
May 15, 2019
25 hours (approximately)
Jesus Samuel Ortiz Ibara'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: Data Cleansing
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Data Preprocessing
- Category: Data Mining
- Category: Data Manipulation
- Category: Data Processing
- Category: Model Training
- Category: Unstructured Data
