How do I protect my data?

Kaggle data is anonymous, scrubbed of all personally identifiable information. It can also be masked, so that competitors can develop algorithms to predict results based on the presence or values of variables A, B, and C without knowing what A, B, and C actually are. This protects proprietary and competitive information, in addition to privacy.

Kaggle also hosts private invitation-only challenges in which players undergo background checks and compete under non-disclosure agreements. Participants in private competitions are selected based on their past performance in Kaggle competitions. Every competitor that accepts the invitation to compete wins prize-money, with larger prizes for those who produce the best results.

Private competitions are an important tool for organizations that want to harness the power of predictive modeling competitions while keeping their data and IP private.

Can someone walk me through this?

Kaggle offers a consulting service, which can help the competition host prepare the data, frame the competition, anonymize their data, and integrate the winning model into their operations. Request a callback above to find out more.