Lessons
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Machine Learning Basics (Open)
97 min
Course Overview
Get Credit for this Course: Machine Learning Basics
Create the Model
Concept: Preparing a Dataset for Machine Learning
3 min
Concept: Quick Models
3 min
Concept: Design Tab Overview
5 min
Concept Summary: Create the Model
3 min
Hands-On: Create the Model
3 min
Evaluate the Model
Concept: Result Tab Overview
2 min
Concept: Model Summary Overview
5 min
Concept Summary: Evaluate the Model
2 min
Hands-On: Evaluate the Model
5 min
Tune the Model
Introduction to Tuning the Model
1 min
Concept: Feature Handling
5 min
Concept: Review the Design
2 min
Concept: Algorithms & Hyperparameters
4 min
Concept Summary: Tune the Model
3 min
Hands-On: Tune the Model
3 min
Explainable AI
Concept: Explainable AI
2 min
Concept: Partial Dependencies
2 min
Concept: Subpopulation Analysis
2 min
Concept: Individual Explanations
3 min
Concept Summary: Explainable AI
4 min
Hands-On: Explain Your Model
4 min
Wrap Up
Tell Us What You Think: Machine Learning Basics
1 min
Course Complete: Machine Learning Basics
1 min
details
Concept: Quick Models
Summary
Summary
Watch this video to get an overview of the quick modeling options in Dataiku DSS!
