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Data Analytics and Visualization Utilizing COVID-19 Data – PDF
PDF document 52 Pages
BENEFITS OF THIS DOWNLOADABLE PDF DOCUMENT
- Step by step implementation guide of COVID-19 analytics
COVID-19 PDF 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.
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Source: Best Practices in COVID-19, Data Analytics PDF: Data Analytics and Visualization Utilizing COVID-19 Data PDF (PDF) Document, RMDS Lab
