DH{}DataHunter

Dataset from Zenodo · S. Rayhan Kabir

COVID-19 Pandemic Stages Identification Using Machine Learning

Open on Zenodo
License
CC BY 4.0commercial use allowedLicense text
This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
Formats
CSV, TXT, PY
Size
10 MB
Updated
Nov 14, 2022

Description

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

Description from Zenodo, shortened.

Files (7)

  • CSVWHO-COVID-19-global-data.csv9.7 MB
  • TXTrequirements.txt174 byte
  • 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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