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Machine Learning in Epidemiology with R — Part 2
Session details & materials
Read heart-data random forest results, then prepare, fit, and evaluate a neural network with Keras and mlr3.
Health Metrics and the Spread of Infectious Diseases is now available in print from Routledge!! 👉 Order your copy
Browse recordings and materials from sessions I presented, co-taught, or hosted for R-Ladies chapters. For other teaching events, visit Workshops & Talks.
18 sessions · 17 recordings
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· R-Ladies Rome
Read heart-data random forest results, then prepare, fit, and evaluate a neural network with Keras and mlr3.
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· R-Ladies Rome
Build a regression model with gradient descent, then explore training, evaluation, and interpretation with mlr3.
· R-Ladies Rome
Materials available
Explore tokenisation, n-grams, and next-word prediction to connect statistical language models with modern AI.
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· R-Ladies Rome
Understand the terminal, local repositories, staging, commits, and collaboration through GitHub.
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· R-Ladies Rome
An exploratory analysis of simulated diabetes data, co-taught with Rafaela Ribeiro Lucas and Lucy Michaels.
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· R-Ladies Rome · PyData Roma Capitale · Rome R Users Group
A keynote at INGV on working across R and Python, with side-by-side examples. The video contains the full community event.
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· R-Ladies Rome
Move from familiar R concepts to Python, with practical examples for data analysis.
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· R-Ladies Rome
Explore artificial intelligence and statistical methods in actuarial work, insurance, and risk modelling.
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· R-Ladies Rome
Practise importing, cleaning, reshaping, and joining data with the tidyverse.
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· R-Ladies NYC & R-Ladies Rome
Learn the basics of Quarto, build a personal website, and publish your work online.
Abstract: In this video, you’ll learn how to make a website in R with Quarto. We’ll explore the basics of Quarto and how to publish a website. The tutorial is designed to be accessible to beginners, with no prior experience required. By the end of the session, you will have a fully functional website that you can use to showcase your projects and achievements.
Material:
Resources:
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· R-Ladies Cambridge
Recreate a Du Bois challenge plate with ggplot2 and explore its colours and visual design.
Abstract: In this video, you’ll learn how to use {ggplot2} to replicate one of the ongoing #DuboisChallenge2024 plates. The original plates are part of W.E.B. Du Bois’s legacy from back in 1900, showcased at the Paris Exposition. I’ll be using modern tools such as R. We’ll explore the colors used in the plates and delve into the intricacies of the challenge by understanding the perspective of hand-made graphs in the ‘Duboisian’ style.
Material:
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· R-Ladies Rome
A live coding session in Italian and English, using Gapminder data to build and export a ggplot2 scatterplot.
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· R-Ladies Rome
A community discussion with R-Ladies Rome organisers and members, sharing career experiences in data science and statistics.
Group discussion covering career advice, personal experiences, and academic statistics career paths.
Event recap
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· R-Ladies Rome
Analyse insurance data, create visualisations, explore modelling, and bring the results into a report.
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· R-Ladies Rome
A hosted recap of the in-person BioC2023 watch party at Sapienza University, with links to the original conference talks.
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· R-Ladies Rome
Get started with R, RStudio, tidyverse, and ggplot2 through a TidyTuesday data analysis.
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· R-Ladies NYC & R-Ladies Rome
Explore deterministic SIR models and a Bayesian workflow for disease transmission.
Abstract: In this video, you will learn about Modeling infectious diseases with R using both deterministic and Bayesian SIR model methods. We will explore both Deterministic and Bayesian SIR model methods, and learn how to use the well-known SIR model to understand how epidemics unfold and how to prevent their spread.
This video is perfect for students of science, healthcare professionals, or anyone who wants to gain a deeper understanding of how to use R for Modeling infectious diseases.
Agenda:
Material:
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· R-Ladies DC
Make maps and explore spatial models with R, using the oregonfrogs dataset.
Abstract: This tutorial is meant for people new to spatial analysis and modeling with RStudio but comfortable in making simple data visualization with ggplot2. In this video, you will learn how to make a map with RStudio, and how to use data modeling for making spatial model analysis.
Material: It is helpful to have the following R packages installed beforehand: {tidyverse}, {ggthemes}, {maptools}, {ggmap}, {sf}, {spocc}, {dismo}, {SpatialEpi}, and {oregonfrogs} dataset from
remotes::install_github("fgazzelloni/oregonfrogs")
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