Kaggle is best known for running machine learning competitions. These competitions have helped classify whales in the oceans and galaxies in the sky; they’ve helped diagnose diabetic retinopathy and predict ad clicks.
Now, they are expanding beyond machine learning competitions and opening Kaggle Datasets up to everyone. You can now instantly share and publish data through Kaggle. This creates a home for your dataset and a place for our community to explore it. Your data immediately becomes available in Kaggle Kernels, meaning that all analysis and insights are shared alongside the dataset.
This is the most recent step in a big set of changes. Last year they launched Kaggle Kernels (originally named Scripts), a reproducible data science environment, to help our community work together on competitions. Six months ago, they launched Kaggle Datasets with a handful of datasets curated by themselves. Last month profiles were revamped, allowing users to show off their kernels and contribution to discussion as well as their competition performances.
All this is to take Kaggle beyond competitions: our mission is to help the world learn from data, and we want to be the place where data scientists come for all of their data science. For the software engineers reading this post, think Stack Overflow, GitHub and TopCoder rolled into one data-focused platform.