- Course Introduction: NLP - The Visual Way
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Course Introduction: NLP - The Visual Way 1 min
- Introduction to NLP
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Concept: The Goal of NLP 3 min
Concept: The Goal of NLP
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Concept Summary: The Goal of NLP 3 min
Concept Summary: The Goal of NLP
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Hands-On: The Goal of NLP 5 min
Hands-On: The Goal of NLP
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Quiz: Introduction to NLP 3 min
Quiz: Introduction to NLP
- Preparing Text Data
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Concept: Challenges of NLP 4 min
Concept: Challenges of NLP
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Concept: Cleaning Text Data 4 min
Concept: Cleaning Text Data
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Concept Summary: Preparing Text Data 4 min
Concept Summary: Preparing Text Data
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Hands-On: Preparing Text Data 5 min
Hands-On: Preparing Text Data
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Quiz: Preparing Text Data 3 min
Quiz: Preparing Text Data
- Handling Text Features for ML
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Concept: Handling Text Features for ML 7 min
Concept: Handling Text Features for ML
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Concept Summary: Handling Text Features for ML 7 min
Concept Summary: Handling Text Features for ML
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Hands-On: Handling Text Features for ML 8 min
Hands-On: Handling Text Features for ML
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Quiz: Handling Text Features for ML 3 min
Quiz: Handling Text Features for ML
- Wrap Up
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Course Checkpoint: NLP - The Visual Way 7 min
Course Checkpoint
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Tell Us What You Think 1 min
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Course Complete 1 min

NLP - The Visual Way
Learn how to prepare and model natural language data with visual tools in Dataiku DSS.
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“NLP - The Visual Way” is a course dedicated to natural language processing using visual tools in Dataiku DSS. It assumes a basic familiarity with visual machine learning in Dataiku DSS.
In the hands-on lessons, we will work with a dataset of movie reviews. Our task will be to build models to classify reviews as positive or negative.
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Learning Objectives
At the end of this course, you will be able to:
1 - Understand the goals and challenges of Natural Language Processing (NLP)
2 - Prepare a dataset for NLP tasks with transformations like normalization, stopwords removal, and stemming
3 - Apply different strategies for handling text features in machine learning tasks and understand the tradeoffs between them
Course Properties
Course Title | NLP - The Visual Way |
Target Audience |
Anyone with a basic understanding of visual machine learning in Dataiku DSS and wants to work with natural language data |
Access Level |
Free / included with registration |
Estimated Time for Completion |
70 Minutes |
Completion Criteria |
Pass the course checkpoint with 80% |
Supplemental Materials (Y/N) |
NONE |
Knowledge Prerequisite(s) |
Machine Learning Basics and Scoring Basics |
Technical Prerequisite(s) |
Dataiku DSS - Latest version (FREE EDITION is enough) |
Start by watching the course overview video and by looking at some key concepts: The Goal of NLP, Preparing Text Data, and Handling Text Features for ML.