- Create the Model
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Concept | Preparing a Dataset for Machine Learning
Concept: Preparing a Dataset for Machine Learning
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Concept | Quick Models
Quick Models
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Concept | Design Tab Overview
Concept: Design Tab Overview
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Tutorial | Get Started
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Tutorial | Create the Model
Hands On: Create the Model
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Quiz: Create the Model
Quiz: Create the Model
- Evaluate the Model
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Concept | Result Tab Overview
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Concept | Model Summary Overview
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Tutorial | Evaluate the Model
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Quiz: Evaluate the Model
Quiz: Evaluate the Model
- Tune the Model
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Introduction to Tuning the Model
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Concept | Feature Handling
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Concept | Feature Generation & Reduction
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Concept | Algorithms & Hyperparameters
Concept: Algorithms & Hyperparameters
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Tutorial | Tune the Model
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Quiz: Tune the Model
- Explainable AI
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Concept | Explainable AI
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Concept | Partial Dependencies
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Concept | Subpopulation Analysis
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Concept | Individual Explanations
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Concept | What if? Analysis
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Tutorial | Explain Your Model
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Quiz: Explainable AI
- Wrap Up
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Course Checkpoint: Machine Learning Basics
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Tell Us What You Think
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Course Complete
Machine Learning Basics
This course is designed for anyone who wants to get started with visual machine learning in Dataiku.
The Machine Learning Course is designed to provide a first hands-on overview of basic Dataiku DSS machine learning concepts so that you can easily create and evaluate your first models in DSS. Completion of this course will enable you to move on to more advanced courses.
In this course, we'll work with two use cases. To illustrate concepts, we'll use a Hospital Readmission project to predict whether or not a patient is likely to be readmitted to the hospital.
Then, in the hands-on lessons, we will continue with the Haiku T-Shirts project we created in Basics 101-103, and use the historical data about customers to predict whether or not a new customer will become a high revenue customer.
Before each hands-on section, you will have a chance to grasp each new concept by watching short videos. In the concept videos, we’ll explore a model that predicts whether a patient will be readmitted to a hospital, based on features such as demographics.
Learning Objectives
At the end of this course, you will be able to:
1 - Prepare a dataset for machine learning
2 - Create models using visual machine learning
3 - Evaluate and tune your models
4 - Incorporate fundamentals of Explainable AI
Course Properties
Course Title | Machine Learning Basics |
Target Audience |
Anyone who uses or wants to learn how to get started with visual machine learning in Dataiku DSS |
Access Level |
Free / included with registration |
Estimated Time for Completion |
97 Minutes |
Completion Criteria |
Pass the course checkpoint with an 80% score |
Supplemental Materials (Y/N) |
Dataset - Haiku T-Shirts Order Log Dataset - Haiku T-Shirts Customers |
Knowledge Prerequisite(s) |
Core Designer Certificate |
Technical Prerequisite(s) |
Dataiku DSS - Latest version (FREE EDITION is enough |