Train your first model with scikit-learn

After this lesson you can: Train, predict and evaluate an actual model end to end.

First: pandas DataFrames, Train/test split, and why it is non-negotiable

Watch

• Machine Learning Tutorial Python - 2: Linear Regression Single Variable - codebasics, 15 min. A beginner-friendly Python sklearn regression code-along fits the first-model, train-predict workflow well.

Notes

Training your first scikit-learn model means turning a table of examples into two things: input features and a target value, then asking an algorithm to learn a relationship from the training rows. The code is usually only a few lines: create the estimator, call fit on training data, call predict on new inputs, then compare predictions against known answers in the test set.

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