MISSION 67

Introduction to Natural Language Processing

Learn about natural language processing while analyzing stories from Hacker News.

Objectives

  • Learn the basics of Natural Language Processing.
  • Learn how to use Natural Language Processing to make predictions.

Mission Outline

1. Introduction
2. Overview of the Data
3. Tokenizing the Headlines
4. Preprocessing Tokens to Increase Accuracy
5. Assembling a Matrix of Unique Words
6. Counting Token Occurrences
7. Removing Columns to Increase Accuracy
8. Splitting the Data Into Train and Test Sets
9. Making Predictions With fit()
10. Calculating Prediction Error
11. Next Steps
12. Takeaways

natural-language-processing

Course Info:

Natural Language Processing

Intermediate

The median completion time for this course is 5.8 hours.

This course requires a premium subscription and includes one mission.  It is the 30th course in the Data Scientist In Python path.

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