Challenges
MenaML challenges
Throughout the week, we're hosting two challenges to help you build your data science skills. These challenges are sponsored by two of our partners, and the top three teams in each track will be recognized and awarded prizes at the end.
You can tackle the challenges anytime on Kaggle; just be sure to submit your solutions by Friday. Feel free to use any methods and techniques you like. The more creative you are, the better your results are likely to be!
New to Kaggle or data science challenges? Check out Kaggle's excellent getting started guide.
During the conference, Monday and Friday's two-hour blocks will be dedicated "office hours" with ML and data science experts from industry.
QCRI computer vision x neuroscience challenge!
QCRI challenge you to bring your interdisciplinary skills of computer vision, machine learning, and neuroscience?
Your mission? Develop an AI system capable of identifying and classifying movement disorders in fruit flies by analyzing their unique walking patterns. Leveraging a rich dataset of extracted keypoints from microscope videos, you'll have the opportunity to craft innovative, time-series-based solutions. This is your chance to contribute to a deeper understanding of human movement disorders!
Check your email for the link to the challenge.
Top performers will present their approaches to a panel of machine learning and biology experts. Final rankings will be based on both the accuracy of your solution and its scientific merit.
Qeen.AI data science challenge
Qeen.Ai is challenging you in a real-world data science project. Build your skills and showcase your talent by creating a revenue-generating forecasting model from a retail customer dataset. You can use various approaches, from linear and tree-based models to Bayesian and deep learning models. The goal is to experience probabilistic thinking in real-world scenarios.Feel free to collaborate with instructors and fellow attendees. Prizes will be awarded to the top three performing models!