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.
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
Here's a glimpse into some Kaggle Competitions
LLM - Detect AI Generated Text
Identify which essay was written by a large language model.
Stanford Ribonanza RNA Folding
Create a model that predicts the structures of any RNA molecule.
Optiver - Trading at the Close
Retrieve the landmark images from the database.
NFL Big Data Bowl 2024
Help evaluate tackling tactics and strategy.
SenNet + HOA - Hacking the Human Vasculature in 3D
Segment vasculature in 3D scans of human kidney.
Linking Writing Processes to Writing Quality
Use typing behavior to predict essay quality.
UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)
Navigating Ovarian Cancer: Unveiling Common Histotypes and Unearthing Rare Variants.
Enefit - Predict Energy Behavior of Prosumers
Predict Prosumer Energy Patterns and Minimize Imbalance Costs.
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 |
|---|---|
| Feb 05 - Feb 11 |
- Introduction Lecture "What is Kaggle" by Kaggle Masters - Introduction hackaton "From nothing to your first ML project" |
| Feb 12 - Feb 18 |
- Kaggle Competition selection party - Kick-off lecture by Kaggle Masters how to tackel the chosen competition |
| Feb 19 - Feb 25 | - Kaggle Competition pair programming evening |
| Feb 26 - Mar 03 | - Kaggle Competition pair programming evening |
| Mar 04 - Mar 10 | - Watch party of the Winner Kaggle competition solution |
| Apr 22 - Apr 28 |
- Kaggle Competition selection party - Kaggle Competition pair programming evening |
| Apr 29 - May 05 |
- Kick-off lecture by Kaggle Masters how to tackel the chosen
competition - Kaggle Competition pair programming evening |
| May 06 - May 12 | - Kaggle Competition pair programming evening |
| May 13 - May 19 | - Kaggle Competition pair programming evening |
| May 20 - May 26 | - Kaggle Competition pair programming evening |
| May 27 - Jun 02 |
- Kaggle Competition pair programming evening - Guest lectures from the industry (DeepMind/Google, Meta, Snap, XTX, etc) |
| Jun 03 - Jun 09 | - Watch party of the Winner Kaggle competition solution |
| Jun 10 - Jun 16 |
- Kaggle Competition selection party - Kaggle Competition pair programming evening |
| Oct 14 - Oct 20 |
- Kick-off lecture by Kaggle Masters how to tackel the chosen
competition - Kaggle Competition pair programming evening |
| Oct 21 - Oct 27 | - Kaggle Competition pair programming evening |
| Oct 28 - Nov 03 | - Kaggle Competition pair programming evening |
| Nov 04 - Nov 10 | - Kaggle Competition pair programming evening |
| Nov 11 - Nov 17 |
- Kaggle Competition pair programming evening - Guest lectures from the industry (DeepMind/Google, Meta, Snap, XTX, etc) |
| Nov 18 - Nov 24 | - Watch party of the Winner Kaggle competition solution |
| Nov 25 - Dec 01 |
- Kaggle Competition selection party - Kaggle Competition pair programming evening |
| Dec 02 - Dec 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.
Apply Method
- Ensure you meet the prerequisites for our two cohorts – experienced and promising.
- Submit your application by Dec 31st, 2023.
- 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 once a week, offering a mix of hackathons, guest lectures, and competition-focused sessions.
Our inaugural session is planned for February 2024.
We are finalizing the details of our location but rest assured, it will be within accessible parts of Oxford. Stay tuned for updates!
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.