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This repository propose a project for the course "ML for medical data" at Sorbonne University. We applied several ML methods on one dataset in order to solve a classification task.

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ml-for-medical-data

This repository contains the project for the course Machine learning for medical data of N. Sokolovska at Sorbonne University. More information about the course at https://sites.google.com/view/nsokolovska/teaching?authuser=0

To do this project, we have chosen a classification dataset called "Classify gestures by reading muscle activity" and available at : https://www.kaggle.com/datasets/kyr7plus/emg-4. It aims at doing prediction of gestures (between rock, paper, scissors and ok) based on some reccord of the electrical activity produced by muscles when doing the movements.

Folder explanation

  • Data for this tasks: data for 4 hand gestures
  • metrics: metrics for evaluations
  • models: models for making predictions
  • preprocessing: data preprocessing

Caution

Dependong on the system used, be careful of the path to the data, models and figures. In particular windows are using '/' to separate folders and linux/max ''.

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This repository propose a project for the course "ML for medical data" at Sorbonne University. We applied several ML methods on one dataset in order to solve a classification task.

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