SDSC4016 Fundamentals of Machine Learning II

SDSC4016 Homework 1:

• On Kaggle

Description

Solve a regression problem (COVID-19 prediction) with deep Multilayer Perceptron (MLP).

Getting Started

Dependencies

• Python
  • Python 3.10+
  • Jupyter
  • pytorch

Install mini-conda and mamba

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash ./Miniconda3-latest-Linux-x86_64.sh
conda install mamba -n base -c conda-forge

Set up conda environment

mamba create -n 4016hw1
mamba activate 4016hw1

Installing dependencies

# conda or mamba
mamba install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
mamba install -c conda-forge Jupyter ipykernel
mamba install -c conda-forge pandas numpy matplotlib scikit-learn

Code

Weak Baseline

Strong Baseline

Dataset

Training set

Testing set

Tested Result on Kaggle

Results on Kaggle

Final Score (Strong Baseline)

• Public: Personal Best - 0.85156 vs Given Answer - 0.85584
• Private: Personal Best - 0.89874 vs Given Answer - 0.91165