Skup podataka sa Zenodo · S. Rayhan Kabir
COVID-19 Pandemic Stages Identification Using Machine Learning
- Licenca
- CC BY 4.0dozvoljena komercijalna upotrebaTekst licence
- Licenca dozvoljava komercijalnu upotrebu. Obično treba navesti autora — tačni uslovi su u tekstu licence.
- Formati
- CSV, TXT, PY
- Veličina
- 10 MB
- Ažurirano
- 14. 11. 2022.
Opis
Here, we used python programming language as the Machine Learning process for identifying COVID-19 stages where we used the K-Means Clustering algorithm, Decision Tree, Naive Bayes Classifier, Random Forest, and AdaBoost algorithms. This repository also contains the dataset. GitHub Link: https://github.com/rayhanhemel/COVID-19-Pandemic-Stages-Identification-Using-Machine-Learning.git
Opis sa Zenodo, skraćen.
Fajlovi (7)
- CSVWHO-COVID-19-global-data.csv9,7 MB
- TXTrequirements.txt174 B
- PYanalysis2.py5,2 kB
- CSVowid_covid_19_dataset_bangladesh.csv286 kB
- PYanalysis1.py4,8 kB
- CSVcovid_19_dataset_bangladesh.csv46 kB
- TXTresults.txt1,2 kB
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