AI/ML Competitions
Kaggle Seasons Special Session
π Thursday 20 March
π David Sizer LT, Bancroft Building
π 5:00-7:00 PM
Manuβs ML Roadmap, Introduction to Fake News Detection, followed by a Mini Hackathon.
Kaggle Seasons Workshop 11
π Thursday 13 March
π David Sizer LT, Bancroft Building
π 6-8 PM
Walkthrough of how to make the first submission in our first-ever Industry Competition.
Kaggle Seasons Workshop 10
π Thursday 6 March
π David Sizer LT, Bancroft Building
π 6-8 PM
Introduction to Kaggleβs brand-new package feature and Python packages. Launch of Kaggle industry competitions, marking the step-up from Kaggle Playground series to real-world challenges.
Kaggle Seasons Workshop 9
π Thursday 27 February
π David Sizer LT, Bancroft Building
π 6-8 PM
Introduction to ensemble learning, bagging, boosting, and stacking. Teams finalized submissions for the February Kaggle Playground series.
Kaggle Seasons Workshop 8
π Thursday 20 February
π David Sizer LT, Bancroft Building
π 6-8 PM
Walkthrough of PCA and how to interpret principal components and variance along each axis. Teams continued their work on the February Kaggle Playground competition.
Kaggle Seasons Workshop 7
π Thursday 13 February
π David Sizer LT, Bancroft Building
π 6-8 PM
Worked through examples of gradient boosting, introduced new members to competitive ML coding with a live coding session, implementing gradient boosting in Python. Teams continued working on the February Kaggle playground competition.
Kaggle Seasons Workshop 6
π Thursday 6 February
π David Sizer LT, Bancroft Building
π 6-8 PM
Introduction to gradient boosting algorithms, how they work, and their importance. Newcomers were assigned to new teams and all teams started the February Kaggle playground competition.
Kaggle Seasons Workshop 5
π Friday 13 December
π Francis Bancroft Building 1.02.6
π 5-8 PM
Christmas Hackathon.
Kaggle Seasons Workshop 4
π Friday 6 December
π Francis Bancroft Building 1.02.6
π 6-8 PM
4-week AI/ML Challenge starts.
Kaggle Seasons Workshop 3
π Friday 29 November
π Francis Bancroft Building 1.02.6
π 6-7 PM
Presentation on data preprocessing β specifically encoding and missing data handling. Shared a detailed template for a Kaggle submission, based on simple logistic regression, mode imputation, and label encoding.
Kaggle Seasons Workshop 2
π Friday 22 November
π Francis Bancroft Building 1.02.6
π 6-7 PM
In-depth lecture evaluating how Kaggle problems can be approached. Sharing the approach that scored in the top 21%. The first Kaggle competition in the Kaggle Seasons circuit.
Kaggle Seasons Workshop 1
π Friday 15 November
π Francis Bancroft Building 1.02.6
π 6-7 PM
Live coding session, demonstrating how to create a baseline Kaggle submission from scratch. Formed skill-based teams of four with dedicated Slack channels for collaboration. Concluded the workshop with a social icebreaker.
Teams Leaderboard 2024/2025
| Rank | Team | Level | Total | 12/2024 | 11/2024 |
|---|---|---|---|---|---|
| 1 | JoFraMo | 6 | 0 | 6 | |
| 2 | CodeBlAIzers | 6 | 6 | 0 | |
| 3 | Eastern European Invasion | 5 | 0 | 5 | |
| 4 | Herb | 4 | 0 | 4 | |
| 5 | Buckshots | 3 | 0 | 3 | |
| 6 | Big Data Energy | 2 | 0 | 2 | |
| 7 | RKRA (ARR) | 1 | 0 | 1 | |
| 8 | Tanisha Srivastava | 1 | 0 | 1 | |
| 9 | The A-team | 0 | 0 | 0 | |
| 10 | Dunder Mifflin | 0 | 0 | 0 |
Notes:
Experience Level: Self-assessed experience level (based on our initial assessment form)
Total: Cumulative points earned throughout the current season (2024/2025)