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BENEFITS OF DOCUMENT

Step by step implementation guide of COVID-19 analytics

DOCUMENT DESCRIPTION

This is a step by step implementation of Covid-19 predictive modeling using LSTM recurrent neural network and SIR epidemiological model. You will be walked through a data science project led by RMDS lab on the topic of coronavirus. Specifically,
1) Collecting and preprocessing data of COVID-19
2) Use machine learning techniques to model the historical data
3) Data visualization

RMDS Lab is a pioneer in developing data science and AI ecosystems, and in offering extensive assistance for data science with its unique RM4Es framework, ResearchMap, and ecosystem approach. We exist to empower our clients worldwide to achieve successful, data-driven results. With resources and tools in our robust scientific community, we have the capability to advance your project impact through data impact consultation and AI-powered services that evaluates your needs, deploys the necessary solutions, and maximize the effectiveness.

RMDS expands your company's reach to find new technologies and resources with the goal of reshaping how commercial clients, researchers and data scientists with industry experience work together to develop high-impact data science solutions.

We have a long-standing Ecosystem of data scientists, engineers and subject matter experts, eager to be your trusted partner, enhance your research, increase the success rate of your work, and leverage the power of analytics. Each of our consultant teams has experience delivering and commercializing E2E data science solutions and software.

Got a question about the product? Email us at [email protected] or ask the author directly by using the form to the right. If you cannot view the preview above this document description, go here to view the large preview instead.

Source: Data Analytics and Visualization Utilizing COVID-19 Data PDF document

Data Analytics and Visualization Utilizing COVID-19 Data

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This business document is categorized under the function(s):

Information Technology Health & Safety

It applies to High Tech

File Type: PDF (pdf)

File Size: 16.5 MB

Number of Pages: 52

Related Topic(s): COVID-19 Data Science

Purchase includes lifetime product updates. After your purchase, you will receive an email to download this document.

Initial upload date (first version): May 6, 2021
Most recent version published: May 7, 2021

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