About the challenge
Over two days, participants will tackle complex data challenges, create real-world applications, and push the boundaries of data science and machine learning. Uncover unique insights and innovative solutions by selecting from our carefully crafted cases and datasets.
Get Started
Sign up now to participate in the second-edition of SDSS Datathon! Challenge yourself to apply data science skills to real-world problems, collaborate with like-minded peers, and network with industry professionals.
Requirements
What to Build
- Data Processing Scripts / Notebooks
- Data Visualizations
- Machine Learning Model
What to Submit
- Link to a publicly accessible GitHub repository containing:
- A fully executed Jupyter Notebook (.ipynb)
- A README file documenting your methodology, assumptions, and relevant details (.md)
- Link to a YouTube video presentation
- A PDF copy of the slide deck used in the recorded presentation
Prizes
Best Overall Project
Best Insights
Best Model
Best Visualizations
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Alice Zhou
Data Scientist @ Cineplex
Aranie Majurananthan
Manager, Data Science @ RBC
Kevin Lee
Data Scientist @ Cineplex
Greg Mehdiyev
ML Engineer @ Cineplex
Judging Criteria
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Problem Understanding & Framing
-
Interpretation Quality
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Technical Rigor
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Communication Quality
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Originality, Collaboration & Ethics
Questions? Email the hackathon manager
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