Machine Learning in Biomedical Engineering (2024-2025)

Lab course organization

• Lab 1 - Introduction

• Lab 2 - Data Preparation

• Lab 3 - Genetic Algorithms

• Lab 4 - Evaluation in ML

• Lab 5 - Linear Models

• Lab 6 - Decision Trees and Feature Extraction

• Lab 7 - Model Optimization - Cross Validation and Hyperparameter tuning

• Lab 8 - Statistical Machine Learning

• Lab 9 - Dimensionality Reduction

• Lab 10 - Unsupervised Learning

• Lab 11 - 12 - Final Project

Prerequisites

You will need:

• Python Editor : Visual Studio Code (suggested, but you can use any other Python editor)
• Python: Anaconda distribution : Anaconda Download

Installation

Clone repository and install dependencies

Clone this repository (If Git is not installed, run conda install git in the command prompt.)

git clone [email protected]:hgamboa/nova-aaeb.git
cd nova-aaeb

Create a python environment

conda create -y -n aaeb python=3.11
conda activate aaeb

Install dependencies

pip install -r requirements.txt

Register the environment as a Jupyter Kernel

python -m ipykernel install --user --name="aaeb"