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GitHub / Olliang / COVID-19-Forecasting

A self-driven project utilizing ARIMA, Seq2Seq, and XGBoost to help design the COVID19 forecasting algorithm. Data sources are from Kaggle Competition and JHU CSSE.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Olliang%2FCOVID-19-Forecasting

Stars: 2
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 4.13 MB
Dependencies: 0

Created: almost 4 years ago
Updated: about 2 months ago
Last pushed: almost 4 years ago
Last synced: about 2 months ago

Topics: arima, covid-19, healthcare-datasets, rnn-encoder-decoder, timeseries-forecasting, xgboost

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