Team Size: Maximum of 5 participants per team.

Submission Limit: Up to 5 submissions per day to allow for iteration and improvement.

Notebook Format: Final submissions must be in the form of a Jupyter Notebook (or Kaggle Notebook) that clearly documents your:

Data exploration

Feature engineering

Analysis or modeling process

Visualizations and insights

Focus on Insight: This is an insight-driven challenge, not a predictive leaderboard competition. Submissions will be judged on the quality of insights, clarity, and creativity — not just metrics.

No External Data: Use of external data is not allowed unless explicitly permitted in the dataset description.

Original Work: All work must be your own. Collaboration is encouraged within teams, but no sharing of solutions or code between teams during the competition.

Public Sharing: Sharing notebooks publicly before the end of the competition is prohibited to keep the challenge fair for all participants.

Evaluation: Winners will be selected based on manual review by the DataBounty team. Criteria include analytical depth, relevance of findings, and overall presentation.