competition-baseline

Why we included this project

For anyone starting out in data science competitions, this repo is a practical map of where to begin. It gathers working baseline solutions from a wide range of past contests, and the authors keep the code deliberately simple and readable instead of copying winners' complex pipelines, so you can actually follow how a typical task is solved. Each competition folder pairs the baseline notebook with the reasoning behind it, showing how a problem statement becomes a concrete model and evaluation flow. Since it's a curated index rather than deployable software, its real value is as a study guide: skim the archive to absorb common techniques, then adapt them to your own projects or the next contest.