Kaggle stands as the foremost arena for machine learning challenges, attracting professionals and enthusiasts globally.
Kaggle competitions:
Our club achieved victory in the prestigious LLM 20 Questions competition, utilizing cutting-edge AI techniques like RAG systems and Mistral LLM. Competing against 832 teams and 963 participants globally, we demonstrated the power of collaboration and innovation in the AI/ML space. Be part of Oxford's leading AI/ML community and tackle real-world challenges with us!
AI is of high demand and growing.
Become Kaggle Master before graduation.
Augment your academic skills with real-life ML projects.
Connect with like minded individulas.
Create an AI capable of solving reasoning tasks it has never seen before.
Create Gemma model variants for a specific language or unique cultural aspect
Relating Physical Activity to Problematic Internet Use.
Classify lumbar spine degenerative conditions.
Predict which variants of Monte-Carlo Tree Search will perform well or poorly against each other in hundreds of board games.
Derive exoplanet signals from Ariel's optical instruments.
Playground Series - Season 4, Episode 10.
Start here! Predict survival on the Titanic and get familiar with ML basics.
Oxford Kaggle Club is a student-led initiative to help students learn AI/ML through Kaggle competitions. We are a group of students from different backgrounds and departments, with a common interest in AI/ML. We are passionate about learning and sharing knowledge with others. We are also passionate about Kaggle competitions and want to help others learn Kaggle competitions.
Date | Activities |
---|---|
Oct 13 - Oct 19 | - Introduction Lecture "What is Kaggle" by Kaggle Masters - Introduction hackaton "From nothing to your first ML project" |
Oct 20 - Oct 26 | - Kaggle Competition selection party - Kick-off lecture by Kaggle Masters how to tackel the chosen competition |
Oct 27 - Nov 02 | - Kaggle Competition pair programming evening |
Nov 03 - Nov 09 | - Kaggle Competition pair programming evening |
Nov 10 - Nov 16 | - Watch party of the Winner Kaggle competition solution |
Nov 17 - Nov 23 | - Kaggle Competition selection party - Kaggle Competition pair programming evening |
Nov 24 - Nov 30 | - Kick-off lecture by Kaggle Masters how to tackel the chosen competition - Kaggle Competition pair programming evening |
Dec 01 - Dec 07 | - Kaggle Competition pair programming evening |
Dec 08 - Dec 14 | - Kaggle Competition pair programming evening |
Dec 15 - Dec 21 | - Kaggle Competition pair programming evening |
Dec 22 - Dec 28 | - Kaggle Competition pair programming evening - Guest lectures from the industry (DeepMind/Google, Meta, Snap, XTX, etc) |
Dec 29 - Jan 04 | - Watch party of the Winner Kaggle competition solution |
Jan 05 - Jan 11 | - Kaggle Competition selection party - Kaggle Competition pair programming evening |
Jan 12 - Jan 18 | - Kick-off lecture by Kaggle Masters how to tackel the chosen competition - Kaggle Competition pair programming evening |
Jan 19 - Jan 25 | - Kaggle Competition pair programming evening |
Jan 26 - Feb 01 | - Kaggle Competition pair programming evening |
Feb 02 - Feb 08 | - Kaggle Competition pair programming evening |
Feb 09 - Feb 15 | - Kaggle Competition pair programming evening - Guest lectures from the industry (DeepMind/Google, Meta, Snap, XTX, etc) |
Feb 16 - Feb 22 | - Watch party of the Winner Kaggle competition solution |
Feb 23 - Mar 01 | - Kaggle Competition selection party - Kaggle Competition pair programming evening |
Mar 02 - Mar 08 | - Kick-off lecture by Kaggle Masters how to tackel the chosen competition - Kaggle Competition pair programming evening |
Note: We are still working to on the schedule. It is a preliminary schedule for 2024
We have a library of the carefully selected best machine learning books.
Application Method
Prerequisites for Experienced Cohort
Prerequisites for Promising Cohort
"Joining the Oxford Kaggle Club was a game changer. The competitions allowed me to apply classroom knowledge to real-world problems, and the collaborative environment pushed me to grow as a data scientist."
"The mentorship and teamwork at the club helped me refine my machine learning skills. Competing in Kaggle challenges alongside passionate individuals was both challenging and rewarding."
"Working on real-world projects through the club taught me practical skills you can’t find in textbooks. The community here is incredibly supportive and motivated."
The Oxford Kaggle Club meets multiple times a week, offering a mix of hackathons, guest lectures, and competition-focused sessions.
Our new session is planned for October 2024.
Our Club meetings held in different Oxford University colleges including Said Business school, Trinity College, etc. You will get a chance to visit prestigious colleges of Oxford.
Membership in the Oxford Kaggle Club is completely free. Our goal is to make AI/ML expertise accessible to all qualified students.
Our club prioritizes offline interactions to foster a strong sense of community and hands-on learning.
Please refer to the "Requirements" section on our landing page for detailed information on the prerequisites for both experienced and promising cohorts.
You'll engage in a variety of real-world Kaggle competitions, offering hands-on experience with practical AI/ML challenges. These projects are designed to enhance your skills and boost your portfolio.
The club is structured around regular meetings, mentorship programs, and active participation in Kaggle competitions. Leadership roles like Club Leader and Vice President are integral to our organization.
Experienced club members, holding at least a bronze medal in Kaggle competitions, mentor new members, providing guidance, setting goals, and tracking progress through monthly formal assessments.
Yes, we regularly host guest lectures from industry experts and Kaggle Masters, providing invaluable networking and learning opportunities.
In addition to mentorship, we provide a curated ML book library, access to premium GPU compute resources for project work, and hands-on experience with Kaggle competitions.
Participation in the club offers real-life ML experience, enhances your CV, and provides opportunities for team collaboration, all of which are highly valued in the AI/ML industry.
Members are expected to actively participate in weekly meetings and dedicate additional time for self-driven Kaggle competition projects.
Absolutely! Members can aspire to roles like Club Leader or Vice President, and experienced students can mentor newcomers, enriching their leadership and teaching skills.
To apply, ensure you meet our prerequisites for the cohorts, submit the online application form by the given deadline, and be prepared for an in-person interview. Selected candidates will be invited to join.