Oxford Kaggle Club

Master AI/ML with Kaggle

Join Oxford Kaggle Club to tackle Kaggle AI challenges and graduate as a Master or Grandmaster, transforming your AI/ML career.

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Kaggle - the largest platform for AI/ML Competitions

Kaggle stands as the foremost arena for machine learning challenges, attracting professionals and enthusiasts globally.

Kaggle competitions:

  • Real AI problems, not some learning exercises.
  • Co-hosted by world-class companies.
  • 3 months duration each
  • Require team work

Oxford Kaggle Club team won a gold medal and $10K prize in competition

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!

kaggle competition spotlight

Kagglers hired by

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Oxford Kaggle Club can help you with

kaggle competition spotlight
AI skills

AI is of high demand and growing.

Boost CV

Become Kaggle Master before graduation.

Real-life

Augment your academic skills with real-life ML projects.

Social

Connect with like minded individulas.

Here's a glimpse into some Kaggle Competitions

About Oxford Kaggle Club

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.

DateActivities
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

Our Library

We have a library of the carefully selected best machine learning books.

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Ready to join our next cohort starting October 2024? Here's how to apply

Application Method

  • Ensure you meet the prerequisites for our two cohorts – experienced and promising.
  • Submit your application by October 20th, 2024.
  • Due to limited spots, we will screen applications to shortlist candidates.
  • Shortlisted applicants will be invited for an in-person interview.
  • Post-interview, selected candidates will receive an invitation to join the club.

Prerequisites for Experienced Cohort

  • Advanced Python Skills: Proficiency in Python and relevant libraries.
  • Mathematical Foundation: Solid background in linear algebra and statistics.
  • ML Theoretical Knowledge: Understanding of core ML concepts.
  • ML Framework Familiarity: Experience with TensorFlow or PyTorch.
  • ML Project Experience: Demonstrated through past projects or competitions.

Prerequisites for Promising Cohort

  • Basic Python Knowledge: Experience of several projects in Python.
  • Mathematical Foundation: Solid background in linear algebra and statistics.
  • ML Interest: Demonstrated curiosity in machine learning/AI.
  • ML Framework Familiarity: Basic understanding of TensorFlow or PyTorch.
  • Problem-Solving Ability: Proven skills in complex problem analysis in code.

What people
are saying.

Here are some testimonials by our club members....

Mathew

"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."

Dev

"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."

Sophie

"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."

Frequently Asked Questions