Build, compare and evaluate a real classifier end to end, predicting penguin species from their measurements.
A hands-on course: from a raw CSV to a trained, tested and saved model. You will use the Palmer penguins dataset from the hub and the scikit-learn library, and learn the workflow that carries over to almost any tabular problem.
Install what you need with pip install pandas scikit-learn joblib.
4 lessons · 1 hr 4 min
Frame the task and explore the data before modelling.
Handle missing values, encode categories and split the data.
Fit two different classifiers and compare them fairly with cross-validation.
Accuracy, precision, recall and the confusion matrix — then save the model.
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