Regression and Classification Foundations
Learners can train and explain their first supervised regression and classification baselines using scikit-learn.
Executable courseRead the lesson pages, run the browser practice notebook, and keep the downloadable fallback pack if you want a local copy.
Module sequence
- What a First Model Should ProveUnit 1 · 20-25 minutes
- Train/Test Split as a Basic Experiment HabitUnit 2 · 25-35 minutes
- Regression: Predicting a Continuous ValueUnit 3 · 30-40 minutes
- Residuals, Loss, and Why Errors MatterUnit 4 · 25-35 minutes
- Classification: Predicting a ClassUnit 5 · 30-40 minutes
- Scores, Probabilities, Labels, and First ThresholdsUnit 6 · 25-35 minutes
- The scikit-learn Fit, Predict, and Score PatternUnit 7 · 20-30 minutes
- First Simple PipelineUnit 8 · 20-30 minutes
- Project Step: Train Baseline Regression and Classification ModelsUnit 9 · 45-60 minutes
- Activity: Train First Supervised BaselinesPractice activity · 55-75 minutes
- Module 3 Assessment: First Supervised BaselinesModule check · 35-45 minutes