COVID-19 Pandemic Stages Identification Using Machine Learning

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

本研究采用Python编程语言构建机器学习流程，以识别新型冠状病毒肺炎（COVID-19）的感染阶段，所使用的算法涵盖K均值聚类（K-Means Clustering）、决策树（Decision Tree）、朴素贝叶斯分类器（Naive Bayes Classifier）、随机森林（Random Forest）以及自适应提升（AdaBoost）算法。本仓库同时附带相关数据集，GitHub仓库链接为：https://github.com/rayhanhemel/COVID-19-Pandemic-Stages-Identification-Using-Machine-Learning.git