This competition is part of the COMP5318: Machine Learning and Data Mining course and centers on building a high-performance classifier. Participants will develop a model to classify 28x28 grayscale images into predefined categories. Due to the large dimensionality of the data, effective preprocessing and method selection will be critical to success.

The competition can be undertaken individually or in teams of two. All teams must register a Kaggle account and submit their solutions using their ***Canvas Group ID*** as the ***team name***. The leaderboard will track each model's performance on the test set, with part of the assignment grade based on these results.

**[Data Input](https://www.kaggle.com/competitions/comp-4318-5318-2024-s-2-a-1/data)**: The dataset desc, required submission format are specified.
**[Testing-Learderboard](https://www.kaggle.com/competitions/comp-4318-5318-2024-s-2-a-1/leaderboard)**: You can find how to test your model and how to submit your results via Kaggle Leaderboard.
**Assignment 1 due**: Sunday week 7 - September 15th 2024, 11:59PM.

This is the overview of Kaggle Leaderboard, go to Canvas -> Assignment -> Assignment 1_2024.ipynb for full details of the assignment.