ml_pedagogical_materials

Pedagogical Materials developed for teaching ML at UNIL

https://github.com/msgomez06/ml_pedagogical_materials

Science Score: 44.0%

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
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Pedagogical Materials developed for teaching ML at UNIL

Basic Info
  • Host: GitHub
  • Owner: msgomez06
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 11 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

Pedagogical Jupyter Notebooks written for the Machine Learning Classes at UNIL

This repository holds a copy of the machine learning notebooks I developed working as a teaching assistant for the Machine Learning for Environmental Science courses at Université de Lausanne.

You'll find the unsolved notebooks in the /Labs folder. The solved notebooks may appear at some point in the future, but currently live in my Google Drive folder :)

Owner

  • Name: Milton Gomez
  • Login: msgomez06
  • Kind: user
  • Location: Lausanne, CH
  • Company: Université de Lausanne

PhD Student @ dawn Lab, IDYST, UNIL

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Machine Learning for Environmental Science
  Pedagogical Materials 
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Milton Gomez
    name-particle: Milton
    family-names: Gomez
    email: milton.gomez@unil.ch
    affiliation: Universite de Lausanne
    orcid: 'https://orcid.org/0000-0002-0421-3893'
date-released: '2022-09-30'

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