Data

Tools

Indexes

Applications

Experiments

Open Source Science

mech-b-4-mlds-mlds1

https://github.com/jhumci/mech-b-4-mlds-mlds1

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: jhumci
  • License: other
  • Language: HTML
  • Default Branch: main
  • Size: 24.9 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 3
  • Releases: 0
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation Zenodo

README.md

MECH-B-4-MLDS-MLDS1 - Machine Learning and Data Science 1

Kursmaterial für eine Vorlesung eines ~1,5 * 15 Stunden (2,5 ECTS) Kurses zu grundlegenden Konzepten der Data Science. Alle Themen werden mit der entsprechenden Python-Implementierung vorgestellt. Der Kurs umfasst Grundlegendes Arbeiten mit Datenbasierter Modellierung, Grundlagen der Statistik, Lineare und nichtlineare Regression, Klassifikation, Clustering, Dimensionalitätsreduktion, und Evaluierung von Modellen.

Die Quarto Stuktur basiert auf von Peter Kandolf.

Citing this project

Citation information

DOI

Development

We use Quarto to generate the lecture material. Where we are creating a book, see docs for the structure. In short, each part has its own folder where you find the qmd files and everything is managed via _quarto.yml. In order to make the use easy the entire project is managed with pdm so to start the preview run

bash pdm sync pdm quarto preview

The project is also compatible with the VSCode extension of Quarto, just make sure the the Python environment in ./.venv is used.

[!IMPORTANT] In one example locale.setlocale(locale.LC_ALL, 'de_AT.utf8') is used so make sure the language is installed on your system to make this example run.

Publishing

After pushing the published website will automatically be built and deployed at jhumci.github.io/MECH-B-4-MLDS-MLDS1/. Due to the dynamic nature of the material this might take a couple of minutes.

You can also create a pdf by calling pdm run quarto render --to pdf

or the html version pdm run quarto render --to html

You can also find a pdf in the releases

Owner

  • Name: Julian Huber
  • Login: jhumci
  • Kind: user
  • Company: MCI Management Center Innsbruck Internationale Hochschule GmbH

Citation (CITATION.cff) 

abstract: 'Course material for a ~4 * 7 hours (2 ECTS) course on basic concepts for data science. All the topics are presented with the Python implementation included.'
authors:
- family-names: Huber
  given-names: Julian
  orcid: 0000-0002-0678-6855
cff-version: 1.2.0
date-released: '2025-01-16'
doi: 
keywords:
- Python
- statistics
- data science
license:
- cc-by-nc-sa-4.0
title: MECH-B-4-MLDS-MLDS1 - Machine Learning and Data Science 1
version: V1.0

GitHub Events

Total
  • Issues event: 4
  • Public event: 1
  • Push event: 65
  • Fork event: 1
Last Year
  • Issues event: 4
  • Public event: 1
  • Push event: 65
  • Fork event: 1