Covid Tweets Analysis, final report as deployed Jupyter notebook, interactive notebook using Plotly and Jupyter widgets

This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.

EDA for Covid-19 India

Saudi COVID-19 Notebook

This repository publishes notebooks created as part of an analysis of the 2020 COVID-19 crisis onto the economy, performed by a team of data scientists from IBM and Rolls-Royce for Emergent Alliance.

This repository contains the ipython notebook of covid19 study. This notebook was made possible in kaggle. Changes and improvements are always welcome.

Pipeline to get data sources from Instituto Nacional de Salud - INS related to Covid19 cases daily report in Colombia to create datasets.

A notebook dedicated to data visualization and analysis of COVID19 Pandemic in India.

Jupyter Notebooks of COVID19 Data

Covid19 Tracking Notebook

Jupyter Notebook for Data Analysis of Covid19 dataset using DataFrames. Please refer to the README.md file for the tasks covered in this Notebook.

Wolfram notebooks on Covid-19 analyses

This group project employs an artificial neural network and logistic regression to predict COVID19 mortality rates in individuals from the CDC Surveillance dataset. It contains a report, presentation, and several notebooks that have various functions. The primary notebooks used were Clean, Describe, Logit, MLPClassifier, and Project which is a s…

This notebook guides you to animate daily death counts due to corona virus.

This repository contains the Jupyter notebooks explaining Exploratory data analysis & Prediction of COVID-19.

Timeseries data of COVID-19 reported cases in India and supporting Python Jupyter notebooks.

Python notebook to notify the user, as soon as desired Covid Vaccine is available on CoWIN website for booking

The following file is a jupyter notebook drawing diagrams about the vaccination progress and the 14-days case notification rate in Europe

This repository contains codes for a case study, analysis, and prediction of COVDI19 cases and its spread across the Globe.

Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.