AI
Machine Learning Foundations
Overview
Train, evaluate and improve your first machine learning models.
Go a level deeper than AI Foundations. Work through regression, classification and model evaluation, and learn the workflow practitioners use from data to decision.
Level
Intermediate
Duration
8 weeks
Lessons
10 lessons
Certificate
Included
What you'll learn
- Frame problems as regression or classification
- Prepare and split data
- Train and compare simple models
- Choose metrics that match the goal
- Communicate results honestly
Curriculum
3 modules · 10 lessons · about 2 hours
Module 1The ML workflow4 lessons
- Framing the problemvideo12 min
- Preparing datatext10 min
- Baselines firstpdf10 min
- Checkpoint: workflowquiz8 min
Module 2Models and metrics4 lessons
- Linear modelsvideo12 min
- Decision treestext10 min
- Metrics that matterpdf10 min
- Checkpoint: metricsquiz8 min
Module 3Project2 lessons
- Choose a datasetvideo12 min
- Project: end-to-end modelproject45 min
Projects & assignments
- Project: end-to-end model
Requirements
- Python Programming or equivalent
- Comfort with basic algebra
Who it's for
- Aspiring ML practitioners
- Developers moving into data work
Spark Academy
Course material is designed and maintained by the Spark Academy learning team in collaboration with Spark Labs.
Certificate
A Spark Academy certificate of completion is issued when you finish every lesson. Every credential has a public verification page.
Frequently asked questions
Do I get a certificate?
Yes. A Spark Academy certificate of completion is issued when you finish every lesson.
Can I learn at my own pace?
Yes. All lessons are self-paced and your progress is saved automatically.
Is this demo content?
Course material is development data while the academy is being set up.
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