A practical guide to building a machine learning model that predicts CPU and RAM load before spikes happen — using Python, psutil, and Scikit-learn. Born from a real 2 AM production incident, this tutorial covers data collection, feature engineering, model training with TimeSeriesSplit, and automated Slack alerting.