Publications by Marcos da Silva Medeiros

R Markdown Presentation & Plotly

31.01.2022

1/30/2022 Collapse Estimator The bed occupancy rate only predicts the risk of system collapse, it does not indicate whether an epidemiological crisis is worsening or improving, but it shows the degree of saturation of the health system and the risk of death from lack of assistance. Beds are constantly relocated or expanded according to demand an...

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Data Product Assignment: R Markdown and Leaflet

30.01.2022

Description Create a web page using R Markdown that features a map created with Leaflet. Host your webpage on either GitHub Pages, RPubs, or NeoCities. Your webpage must contain the date that you created the document, and it must contain a map created with Leaflet. We would love to see you show off your creativity! My map will show 4 cities in th...

834 sym R (1023 sym/4 pcs)

ICU Beds Occupancy Rate App

01.02.2022

Real-time ICU beds occupancy rate in the State of Sao Paulo, BrazilMarcos Medeiros01/31/2022 Introduction This ShinyApp is part of the course Developing Data Products of the Coursera Data Science Specialization. Instructions: Write a shiny application with associated supporting documentation. The documentation should be thought of as whatever...

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Text Mining: Predicting the Next Word

26.02.2022

Text Mining: Predicting the Next Word Milestone Report Project Marcos Medeiros 02/19/2022 Introduction This is the milestone report assignment for week 2 of the Coursera Data Science Capstone Project. The purpose of this report is to demonstrate how to do a text mining using bag-of-words method, loading and cleaning the dataset, making some expl...

5723 sym R (7992 sym/4 pcs) 7 img 1 tbl

Next Word Predicton with NLP

20.02.2022

Next Word Predicton with NLPMarcos Medeiros02/20/2022 Introduction This presentation is part of the Data Science Capstone Project Specialization offered by The Johns Hopkins University on Coursera. The aim of this project is develop a Shiny Application using NLP (Natural Language Processing). The Milestone Report “Predicting the Next Word”...

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