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A comprehensive analysis on the spread of the corona virus worldwide. The statistical analysis shows the spread using interactive charts and figures. The geographical analysis shows the spread of the virus on the geographical map of the majorly affected countries and highlighting the places with highest incidence rate.

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covid-19---a-geo-statistical-analysis's Introduction

Hi there 🙋‍♂️ 👨🏼‍💻

I'm Saurav! I'm a Software Engineer-IV majorly working in React JS, C#.Net in the healthcare domain. Very much keen to work & contribute to the AI and Computer Vision space in the Healthcare domain. 👷 🏥

📚 📓 I’m currently learning React JS, Python GUI, Deep Learning and Computer Vision for Medicine & Healthcare Domain. 🤓 🐱‍👓
💻 Intrested in AI (Deep Learning & Computer Vision) for Medicine and Healthcare 👨🏼‍💻
👯 Open to collaborate on AI for Medicine and Healthcare.

My Personal Web Space: Saurav.Hello.World

📚 Peer Reviewed Journal Publications 📚

Paper Title	Paper Link	Source Code
1. A Comparative Study for Time-to-Event Analysis and Survival Prediction for Heart Failure Condition using Machine Learning Techniques. The paper is published in the July 2022 issue as part of the Journal of Electronics, Electromedical Engineering, and Medical Informatics.	Read Online	Python Source Code
2. Artificial Intelligence: A Review of Progress and Prospects in Medicine and Healthcare. The paper is published in the January 2022 issue as part of the Journal of Electronics, Electromedical Engineering, and Medical Informatics.	Read Online	NA
3. Malaria Parasite Detection using Efficient Neural Ensembles. The paper is published in the October 2021 issue as part of the Journal of Electronics, Electromedical Engineering, and Medical Informatics.	Read Online	Python Source Code