- Data Scientist Quick Start
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Get started
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Build the Flow
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Split data into training and testing sets
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Train machine learning models
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Inspect a model's results
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Iterate on the design of a model training session
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Apply a model to generate predictions on new data
- Wrap Up: Data Scientist Quick Start
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What's next?
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Tell Us What You Think: Data Scientist Quick Start
Data Scientist Quick Start
Get started using Dataiku for machine learning in this tutorial for first time users!
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Get started using Dataiku for machine learning in this tutorial for first time users! It assumes no prior knowledge of Dataiku. To follow along, all you need is access to a Dataiku instance. You can get started here. In this project, you'll train a model to predict job postings as real or fake and use it to score new data. |
Learning Objectives
In this quick start, you'll:
1 - Create a Dataiku project.
2 - Use a visual recipe to divide training and testing datasets.
3 - Train prediction models for a binary classification task.
4 - Iterate on the design of a model training session.
5 - Apply a chosen model to new data.
Course Properties
| Course Title | Data Scientist Quick Start |
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Target Audience |
Anyone looking to take their first steps with machine learning in Dataiku. If you are more interested in using code with Dataiku, see the Developer Guide. |
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Access Level |
Free / included with registration |
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Estimated Time for Completion |
30 Minutes |
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Knowledge Prerequisite(s) |
None! |
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Technical Prerequisite(s) |
Dataiku - Version 11.0 or above. Dataiku Cloud and the free edition are compatible. |
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Register above to start learning! |