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GitHub / jguerrae / ElectronicTaxPan_Forecast_LSTM

Innovative forecasting of Panama's electronic VAT collection through a blend of SARIMAX and LSTM models, under the FISLAC initiative by Juan Camilo Díaz and Jorge Guerra. This project leverages 1.2 million data points to enhance fiscal planning and risk management in the LAC region.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jguerrae%2FElectronicTaxPan_Forecast_LSTM

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 656 KB
Dependencies: 0

Created: about 2 months ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago

Topics: forecasting, lstm-neural-networks, macroeconomics, sarima-model, vat

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