COMP0189-practical

Week 1 (Environment set up)

Although you can run practial codes without virtual environment, we recommend setting it up. You have two options:

1. using Anaconda:

• Anaconda Guide
• Anaconda Guide for M1/M2 MacBooks

2. using python virtualenv:

• Python VirtualEnv

If you do not wish to set up a local environment or run it online for initial experiments, you can open the Google Colab and search for this repository (https://github.com/kimdanny/COMP0189-practical) to open and run.

Week 2 (Preprocessing)

Problem notebook
Solution notebook

Week 3 (Model selection and assessments)

Problem notebook
Solution notebook

Week 4 (PRoNTo)

• Download all the resources needed from this Dropbox link
  • This dropbox folder contains the latest version (v3) of PRoNTo, SPM12, dataset, and analyses file used in the demo
• Open PRoNTo software by reading the Preparation Guideline
• Instructions for Mac Users
• Refer to the PRoNTo Manual

OASIS Tutorials
Lab Demo and Homework Instructions

Week 5 (Feature selection, Trees, and Ensembles)

Optional Problem notebook
Solution will be provided after everyone submits the first coursework.

Week 6 (Deep Learning - image segmentation)

Local Notebook
Open in Google Colab

Week 7 (Dimensionality reduction and matrix decomposition with clustering)

Problem notebook
Solution notebook

Week 8 (Reinforcement Learning)

Problem notebook
Open problem in Google Colab
Solution notebook