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GitHub / horaciobrites / Prediccion-de-ventas-de-insumos-de-oficina-por-Ecommerce

Este proyecto, desarrollado como parte del trabajo final de la carrera de Data Science de CODERHOUSE, aborda el desafío de prever la cantidad de ítems que una empresa de ventas de insumos venderá en los próximos meses.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/horaciobrites%2FPrediccion-de-ventas-de-insumos-de-oficina-por-Ecommerce

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 2.38 MB
Dependencies: 0

Created: 5 months ago
Updated: 5 months ago
Last pushed: 5 months ago
Last synced: 4 months ago

Commit Stats

Commits: 3
Authors: 1
Mean commits per author: 3.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/horaciobrites/Prediccion-de-ventas-de-insumos-de-oficina-por-Ecommerce

Topics: arima, exploratory-data-analysis, exponential-smoothing, forecasting, jupyter-notebook, linear-regression, prophet, python, random-forest, tuning-parameters, validation, visualization

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