Build it yourself: A data pipeline that trains a real model

The article explains what a data pipeline is and lists its main steps: collect, move, transform, and deliver data.

It describes three roles data plays for AI: training models, providing inputs for outputs, and enabling ongoing improvement.

The tutorial builds a simulated 24-hour temperature dataset, trains a scikit-learn linear regression model, and saves it as model.pkl.

Readers are shown commands to train the model and run predictions that display actual versus predicted temperatures in the terminal.