Walk through a complete machine learning workflow in 6 interactive steps: Dataset Selection → EDA → Preprocessing → Training → Evaluation → Deployment. Choose from 3 datasets, train 3 models, and see how preprocessing choices affect results.
150 samples • 4 features • 3 classes
200 samples • 6 features • Binary
180 samples • 5 features • Binary
Training: —
Testing: —
Accuracy: —
Accuracy: —
Accuracy: —
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End‑to‑end pipeline walkthrough: data splitting, preprocessing (scaling/encoding), model training, validation, and evaluation. Emphasizes reproducibility and separation of fit/transform steps to avoid leakage.