Datasets & Problem Statements
Released on Devpost and Discord at the start of the hacking window (Sat Nov 7, 12:00 PM EST). Each sponsor-backed prize track comes with its own dataset + problem prompt.
Recommended Tools
- Notebooks & code: Google Colab, Kaggle Notebooks, Jupyter
- Analysis: Python (Pandas, Scikit-learn), R, SQL
- Visualization: Tableau Public, Power BI, Streamlit, Plotly
- AI/ML: Google Gemini API, Hugging Face
Learning Resources
- Kaggle Learn - short free courses on Python, ML, SQL, Data Viz
- Google ML Crash Course
- Storytelling with Data
On-Site Support
- 💬 Discord - fastest way to get help during the event
- 🧑🏫 Mentors - industry mentors circulating during the hacking window
- 🎪 Sponsor Booths - Sat Nov 7, 12:00–6:00 PM
- 🎓 Workshops - Sat Nov 7, 1:00–8:00 PM (schedule TBA)