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ciencia_datos

imported

software/ciencia-datos

El curso en español, de acceso abierto y gratuito más grande del mundo sobre Ciencia de Datos en salud.

Machine-generated from the listed sources and not yet reviewed by a human.

ciencia_datos project image
GitHub preview card for opensaludlab/ciencia_datos. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
opensaludlab
Country
unknown
Documentation
unknown
Tags
algorithms · analitycs · ciencia · ciencia-de-datos · computer-science · data-science · inteligencia-artificial · machine-learning · programming · public-health · rstats · salud · statistics
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • goldilocksrstats · statistics

    Implement Goldilocks Bayesian adaptive design for time-to-event outcomes using a piecewise exponential distribution.

  • ryprstats · statistics

    R inside Python

  • PlantLeaf-Desktop-Appcomputer-science

    PlantLeaf - Detect and analyse acoustic and bioelectric signals emitted by plants and understand their physiological state

  • SDC-BIDS-dMRIprogramming

    Introduction to dMRI

  • Working with EEGLAB and BIDS-EEG

  • SDC-BIDS-fMRIprogramming

    fMRI Imaging Analysis

sources
  1. api.github.com/repos/opensaludlab/ciencia_datos
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-03-06, 356 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/15.json→ .entries["ciencia-datos"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.