Science Score: 67.0%

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
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Dotido10
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 8.32 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

README.md

The following aims to perform multiple linear regression to model the relationship between air temperature and other selected variables. Data from meteorological stations on the Island of Haiti is considered to model the relationship between air temperature and other meteorological variables.

Features in the dataset are: Datetime, Air Temperature, Air Pressure, Relative Humidity, Wind Direction, Wind Speed, Rain, Hail, Samples/Hour

Python module scikit-learn for machine learning will be used.

DOI

Owner

  • Login: Dotido10
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Sauveur"
  given-names: "Renaldo"
  orcid: "https://orcid.org/0009-0004-4583-1403"
title: "Multilinear Regression Meteo Data"
version: 0.1.1
doi: 10.5281/zenodo.14894946
date-released: 2024-09-30
url: "https://doi.org/10.5281/zenodo.14894946"

GitHub Events

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Last Year
  • Release event: 1
  • Push event: 4
  • Public event: 1
  • Create event: 1