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abmhamdi/mlpy

By abmhamdi

•Updated 6 days ago

Machine Learning Labs @ ISETBZ

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abmhamdi/mlpy repository overview

⁠Machine Learning with Python

Open in GitHub Codespaces

MLPY-CI Docker Version Docker Pulls

This repository contains slides, labs, and code samples for using Python to implement some machine learning related algorithms.

⁠Included Algorithms

The repository includes the implementation of the following algorithms:

  1. Linear Regression
  2. Logistic Regression
  3. k-NN
  4. K-MEANS
  5. ANN

⁠Prerequisites

Codes run on top of a Docker image, ensuring a consistent and reproducible environment.

Important

You will need to have Docker installed on your machine. You can download it from the Docker website⁠.

Note

To run the code, you will need to first pull the `Docker` image by running the following command: 
docker pull abmhamdi/mlpy

This may take a while, as it will download source code, python3 image, and all necessary system dependencies.

⁠How to control the containers:

Services can be run by typing the command docker-compose up. This will start the Jupyter Lab on http://localhost:2468⁠, and you should be able to use Python from within the notebook by starting a new Python notebook. You can parallelly start Marimo on http://localhost:1357⁠.

  • docker compose up -d starts the container in detached mode
  • docker compose down stops and removes the container

⁠License

This project is licensed under the MIT License - see the LICENSE⁠ file for details.

Tag summary

Content type

Image

Digest

sha256:b6a851da2…

Size

618.7 MB

Last updated

6 days ago

docker pull abmhamdi/mlpy