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Foundational Machine Learning
Understand, train, evaluate, and communicate a simple machine-learning model.
- Format
- Foundational technical course
- Designed for
- Students, analysts, and early-career professionals beginning applied machine learning
The program
An accessible technical foundation for students and early-career professionals. Learners work from a real question through data preparation, baseline modeling, evaluation, and responsible interpretation without treating model accuracy as the whole story.
You leave with
A documented baseline model and model card covering data, metrics, limitations, and next steps
Learning arc
- 01Problem framing and machine-learning task types
- 02Data quality, preparation, and leakage
- 03Features, baselines, and model training
- 04Evaluation metrics and error analysis
- 05Bias, overfitting, and responsible interpretation
- 06Model card and practical next-step plan