Spot tabular, image, text, and time-series data on sight, and match each shape to the kind of problem it feeds.

Four files land in your inbox: a spreadsheet, a photo, a chat log, and a year of `.csv` stock ticks. The goal on each is the same, predict something, but no two of them can be read the same way.

Hold back a test set so a model's score is honest, then catch the leak that makes a broken model look perfect.

Your model scores 99% on the house table it just trained on, so you ship it. But the table only handed back prices it had memorized, that 99% measured recall, not skill, and the first real house proved it.