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1. MCMC-SIRD-Model MCMC-SIRD-Model Public

   Parameter Estimation & Case Prediction of a SIRD Model using the Metropolis Hasting MCMC algorithm.

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2. SIR SIR Public

   Forked from ghilander/SIR

   Implementation of the algorithms: Metropolis-Hastings (MCMC) and Importance Resampling (Particle Filter) for a simple Susceptible, Infectious, or Recovered (SIR) model that simulate a flu

   MATLAB 1

3. Covid-19-detection-using-Machine-Learning Covid-19-detection-using-Machine-Learning Public

   Forked from Bhuvaneswar005/Covid-19-detection-using-Machine-Learning

   This project aims to compare different machine learning algorithms like K-nearest neighbors, Random forest and Naive Bayes with respect to their accuracies and then use the best one among them to d…

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4. Decision-Trees-and-Random-Forest-Covid-19-Death-in-British-Columbia- Decision-Trees-and-Random-Forest-Covid-19-Death-in-British-Columbia- Public

   Forked from behrouzdarvishzad/Decision-Trees-and-Random-Forest-Covid-19-Death-in-British-Columbia-

   Decision Trees and Random forest, "COVID 19": Number of Death in British Columbia

   Jupyter Notebook

5. Predicting-the-state-of-COVID19-patients-using-Random-Forest-Classifier Predicting-the-state-of-COVID19-patients-using-Random-Forest-Classifier Public

   Forked from ennis-kurt/Predicting-the-state-of-COVID19-patients-using-Random-Forest-Classifier

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6. RandomForestCovidCase RandomForestCovidCase Public

   Forked from freecode23/RandomForestCovidCase

   Using Random Forest model to predict the state of a patient: released, isolated, deceased

   Jupyter Notebook