š¤ Can you predict the stock market with machine learning?
Join UCL Data Science Society for an exciting afternoon of hands-on machine learning! Our ML Stock Prediction Hackathon challenges you to build the most accurate stock prediction model using real-world techniques.
š What to Expect:
2:00-2:30 PM: Introduction & ML Tutorial - Our Science Division will guide you through essential scikit-learn techniques, including data validation, feature engineering, linear regression, and model evaluation2:30-5:30 PM: Hacking Time - Build and refine your prediction model, compete on our Kaggle leaderboard5:30-6:00 PM: Results & Prize Ceremony - See who built the best model and claim prizes!
šÆ Who Should Attend:
Students interested in machine learning, data science, finance, fintech, or quantitative analysis. This event is perfect for building practical skills and your data science portfolio.
ā Prerequisites:
Python knowledge (numpy, pandas, matplotlib) is assumed. Need a refresher? Check out our Term 1 Python tutorials at linktr.ee/ucldata
š Refreshments:
Pizza and drinks will be provided throughout the event.
š» What to Bring:
Your laptop with Python installed (Jupyter notebooks or similar environment recommended).
Ready to test your ML skills? Sign up now - spaces are limited!
Operations12/15
Why this score
Strong organiser track record
Returning event
Well-sponsored
Missing data
Prize details
Code of conduct
UCL DSS - ML Stock Prediction Hackathon | Hackathon Radar