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
Kagglers hired by
Oxford Kaggle Club can help you with
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
AI Mathematical Olympiad - Progress Prize 1
Solve national-level math challenges using artificial intelligence models.
LLM Prompt Recovery
Recover the prompt used to transform a given text.
Home Credit - Credit Risk Model Stability
Create a model measured against feature stability over time
The Learning Agency Lab - PII Data Detection
Develop automated techniques to detect and remove PII from educational data.
Reconstruct 3D scenes from 2D images over six different domains
Segment vasculature in 3D scans of human kidney.
Learning Agency Lab - Automated Essay Scoring 2.0
Improve upon essay scoring algorithms to improve student learning outcomes.
Leash Bio - Predict New Medicines with BELKA
Predict small molecule-protein interactions using the Big Encoded Library for Chemical Assessment (BELKA).
BirdCLEF 2024
Bird species identification from audio, focused on under-studied species in the Western Ghats, a major biodiversity hotspot in India.
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.
| Date | Activities |
|---|---|
| Apr 27 - May 03 | - Introduction Lecture "What is Kaggle" by Kaggle Masters - Introduction hackaton "From nothing to your first ML project" |
| May 04 - May 10 | - Kaggle Competition selection party - Kick-off lecture by Kaggle Masters how to tackel the chosen competition |
| May 11 - May 17 | - Kaggle Competition pair programming evening |
| May 18 - May 24 | - Kaggle Competition pair programming evening |
| May 25 - May 31 | - Watch party of the Winner Kaggle competition solution |
| Jun 01 - Jun 07 | - Kaggle Competition selection party - Kaggle Competition pair programming evening |
| Jun 08 - Jun 14 | - Kick-off lecture by Kaggle Masters how to tackel the chosen competition - Kaggle Competition pair programming evening |
| Jun 17 - Jun 23 | - Kaggle Competition pair programming evening |
| Jun 24 - Jun 30 | - Kaggle Competition pair programming evening |
| Jul 01 - Jul 07 | - Kaggle Competition pair programming evening |
| Jul 08 - Jul 14 | - Kaggle Competition pair programming evening - Guest lectures from the industry (DeepMind/Google, Meta, Snap, XTX, etc) |
| Jul 15 - Jul 21 | - Watch party of the Winner Kaggle competition solution |
| Jul 22 - Jul 28 | - Kaggle Competition selection party - Kaggle Competition pair programming evening |
| Nov 04 - Nov 10 | - Kick-off lecture by Kaggle Masters how to tackel the chosen competition - Kaggle Competition pair programming evening |
| Nov 11 - Nov 17 | - Kaggle Competition pair programming evening |
| Nov 18 - Nov 24 | - Kaggle Competition pair programming evening |
| Nov 25 - Dec 01 | - Kaggle Competition pair programming evening |
| Dec 02 - Dec 08 | - Kaggle Competition pair programming evening - Guest lectures from the industry (DeepMind/Google, Meta, Snap, XTX, etc) |
| Dec 09 - Dec 15 | - Watch party of the Winner Kaggle competition solution |
| Dec 16 - Dec 22 | - Kaggle Competition selection party - Kaggle Competition pair programming evening |
| Dec 23 - Dec 29 | - 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.
Application Method
- Ensure you meet the prerequisites for our two cohorts – experienced and promising.
- Submit your application by April 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.
Frequently Asked Questions
The Oxford Kaggle Club meets throughout the week, offering a mix of hackathons, guest lectures, and competition-focused sessions. Students can register there preferred time and days.
Our inaugural session is planned for April 2024.
The club meetings will be in different locations in oxford colleges, according to the week days and students preferences.
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.