AY27-1 Kaggle Competitions Completed to Date
This page provides the course links for the Kaggle competitions completed to date and the associated student GitHub repositories.
| Competition | Dates | Task | Primary Methods | Kaggle |
|---|---|---|---|---|
|
Competition 1
MA289 AY2701 Tree Method Housing Data Competition |
Launch:
01 Sep 2026
Due: 22 Sep 2026 NLT 2359 |
Ames Housing regression.
Predict SalePrice from residential
housing features.
|
Decision trees, pruning, bagging, random forests, gradient boosting, cross-validation, and OOB error. | Open Competition |
|
Competition 2
MA289 Spoken Digit Data Competition |
Launch:
29 Sep 2026
Due: 16 Oct 2026 NLT 2359 |
Binary spoken-digit classification. Distinguish spoken sixes from sevens using spectrogram-based image data. | Support Vector Machines, scaling, linear and RBF kernels, feature extraction, cross-validation, and probability predictions. | Open Competition |
AY27-1 Student GitHub Repositories
Student repositories associated with the completed competitions are collected below as examples of modeling workflows, experiment tracking, reproducible code, and competition submissions.
| Competition | GitHub Account | Repository |
|---|---|---|
| Competition 1: Ames Housing | G78987 | MA289-AY2701-Tree-Method-Housing-Data-Competition |
| Competition 1: Ames Housing | bossman11223 | MA289A-Competition1 |
| Competition 1: Ames Housing | adios7128-cyber | PAK_Kaggle |
| Competition 1: Ames Housing | pattygirl665-lab | Wu_MA289_AY2701_Tree_Method_Housing_Competition |
| Competition 2: Spoken Digit SVM | G78987 | MA289-AY2701-SVM-Competition |
Prior MA289 Student Work
| Semester | Student | Project | Repository |
|---|---|---|---|
| AY26-02 | Lucas Young | Increasing Logistic Regression's Effectiveness on Non-Linear Data Using Polynomial Transformation | GitHub Repository |