https://github.com/calderonsamuel/machine-learning-parcial

https://github.com/calderonsamuel/machine-learning-parcial

Science Score: 13.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme

README.md

Parcial del curso de machine learning

Este repo contiene el código necesario para la generación de resultados de modelos de machine learning para el curso INF648-PUCP-2024-01 - Aprendizaje Automático.

URL del repositorio: https://github.com/calderonsamuel/machine-learning-parcial URL de diapositivas: https://calderonsamuel.github.io/machine-learning-parcial/

Alternativamente, se puede ver el archivo presentation.pdf para acceder a las diapositivas, aunque tiene algunos errores de renderizado.

Setup

Es posible reusar todo el código del repositorio. Para ello se deben seguir algunos pasos:

  1. Instalar R 4.3.3 o superior.
  2. Instalar Rstudio en versiones posteriores a 2023.03
  3. Abrir Rstudio, instalar el paquete renv: install.packages("renv").
  4. Clonar el repositorio en la ubicación deseada: git clone https://github.com/calderonsamuel/machine-learning-parcial.git
  5. Abrir el projecto machine-learning-parcial.Rproj. Verificar que el working directory es el mismo que el directorio que se acaba de clonar.
  6. Ejecutar renv::restore().
  7. Correr el archivo index.qmd. Este contiene todo el código vinculado al trabajo.

Owner

  • Name: Samuel Calderon
  • Login: calderonsamuel
  • Kind: user
  • Location: Lima

Peruvian political scientist

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 19
  • Total Committers: 1
  • Avg Commits per committer: 19.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Samuel Calderon s****n@u****e 19
Committer Domains (Top 20 + Academic)
uarm.pe: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
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