From theory to working code — your first ML model in under a week
Once you understand the basics of ML, the next milestone is building something that actually predicts. This guide walks through the entire pipeline of your first model — choosing a dataset, splitting train and test, training with Scikit-learn, and evaluating accuracy. By the end you will have a working model that runs locally and a clear sense of how real ML projects are structured.
