Presentation materials from our monthly meetings
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06/20/2024 Daniel Chu, PhD MPH Automating and Simplifying ML Workflows at Scale with {targets}
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05/23/2024 Kaija Gahm Free-Ranging Griffon Vultures: Movement, Social Network, and {targets}
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04/18/2024 Quinn Gates Research Computational Data Science at CHOC
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03/21/2024 Travis Gerke, ScD G-Thangs: Causal Inference with R
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02/15/2024 Various Posit Conf Presenters What's New in Quarto & Lightning Talks
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01/18/2024 Beau Walker Intellectual Property Protections for Data Scientists
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09/26/2023 Emil Hvitfeldt and Javier Orraca-Deatcu Highlights and Learnings from posit::conf(2023)
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08/15/2023 Sep Dadsetan Version Control, {renv}, and Reproducibility
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07/18/2023 Chelsea Parlett-Pelleriti Building Shiny for Python apps for Data Science
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05/16/2023 Luke Morris Reducing Emergency Department Overutilization by Broadening Homelessness Services
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04/18/2023 Gabor Szabo Intro to {sherlock}: an R Package for Problem Diagnosis
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03/21/2023 Javier Orraca-Deatcu Build a Shiny App Demo as a Cover Letter Accessory
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02/21/2023 Emil Hvitfeldt The Purrrfect In Person Kickoff
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01/24/2023 Dave Gruenewald Building R Packages on Easy Mode
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09/27/2022 Emily Robinson A UseR’s Introduction to Machine Learning in AWS
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08/23/2022 Vincent Arel-Bundock I fit a model... now what?
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07/26/2022 Kyle Cuilla {reactablefmtr}: Streamlined Table Styling and Formatting for {reactable}
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06/28/2022 Emil Hvitfeldt I Did Advent of Code and Here is What I Learned
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04/27/2022 Steven Paul Sanderson II Intro to the Healthyverse Packages
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02/22/2022: Julia Silge, Creating features for machine learning from text
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11/16/2021: Daniel Sjorberg, Reporting Research Study Results with {gtsummary}
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10/26/2021: Mine Dogucu, Teaching and Learning Bayesian Statistics with {bayesrules}
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05/18/2021: Max Kuhn, Create Models en mass with Workflow Sets
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04/27/2021: Emily Riederer, Column Names as Contracts
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03/24/2021: James Lamb, R in the Command Line
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03/24/2021: Neal Fultz, R in the Command Line
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02/23/2021: Hossein Falaki, Unified Data Applications with Shiny on Delta Lakes (Shiny Lakehouse)
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12/08/2020: Alison Hill, The Download
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10/27/2020: Will Landau, Reproducible computation at scale in R
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09/22/2020: Edward Visel, Tools for uncomfortably Big Data
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08/18/2020: Adam Austin, Dissecting a Function
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08/18/2020: Karolis Koncevicius, Non-exhaustive list of lesser used base R features
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02/25/2020: Suresh Datla, Using R in Power BI
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02/25/2020: Luke Morris, Basketball: Let's Explore March Madness with ncaahoopR
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01/28/2020: Michael Espero, reticulate: R Interface to Python
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11/19/2019: Emil Hvitfeldt, Building Packages in an Ecosystem
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11/19/2019: Alan Dipert, Integrating React.js and Shiny
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10/29/2019: Malcolm Barrett, The YAML problem: Writing and working with YAML with ymlthis
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09/24/2019: Ash Pahwa, Convolutional Neural Networks
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09/24/2019: Luke Klein, Speeding up R with Rcpp
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08/27/2019: George G. Vega Yon, A Brief Introduction to Using R for High-Performance Computing
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08/27/2019: Olga Korosteleva, Regression Models for Count Data
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07/30/2019: Zhi Yang, Topic modeling in cancer patients' mutational profiles
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07/30/2019: John Peach, Error and Condition Handling in R
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06/25/2019: Emil Hvitfeldt, Making an R package with use this
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06/25/2019: UCI Capstone - Pacific Life Pacific Life: Predicting policyholder lapse behavior
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06/25/2019: UCI Capstone - Amazon Alexa Skill Store Amazon Alexa Skill Store
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05/28/2019: Captain Rrrr, Factors Affecting Water Level Across CA Counties - OCRUG Hackathon
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05/28/2019: watR inspectR, watR inspectR - OCRUG Hackathon
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05/28/2019: Save the woRld, Save the woRld - OCRUG Hackathon
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05/28/2019: Peyman Mohajerian, Using R in big data (Spark, databases, EMR, Hadoop, H2O.ai)
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04/29/2019: Ash Pahwa, Deep Learning Using R and TensorFlow (Part 2)
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04/29/2019: Peter Stemler, REST APIs and Shiny
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03/26/2019: Ash Pahwa, Deep Learning Using R and TensorFlow (Part 1)
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03/26/2019: John Peach, It's not that we don't test our code, it's that we don't store our tests
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02/26/2019: Yemi Odoyemi, Opinion Mining of Climate Change Research
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02/26/2019: Zhi Yang, How to make slides in R using xaringan
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01/29/2019: Ryan Benz, Tibbles & List Columns & Nested Data Frames Oh My!
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01/29/2019: Emil Hvitfeldt, Working with tidymodel
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11/27/2018: Alan Dipert, Connecting Javascript to Shiny
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11/27/2018: Alyssa Columbus, Telling Meaningful Stories with Data
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10/30/2018: Robert Thomas, How Marketing Teams Leverage Web Service API’s to support their Data Science initiatives
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10/30/2018: Hasan Hboubati, Using R to build large-scale models with Alteryx
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09/25/2018: Emil Hvitfeldt, Similarity Measure in the Space of Color Palettes
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08/28/2018: Ryan Benz, RStudio Tune-up
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08/28/2018: Yemi Odeyemi, Cancer Mutations Scores
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07/31/2018: Wanyi Huang, UCI Capstone - Pacific Life's Deferred Annuity
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07/31/2018: Gloria Gong, UCI Capstone - IBM Watson - The True Benefits of HR Contracts
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05/29/2018: DF3, DataFest - Chapman University
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05/29/2018: Data Dirtbags, DataFest - CSU Fullerton and Long Beach
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05/29/2018: Terminal R, DataFest - CSU Fullerton
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05/29/2018: Seems Logit, DataFest - Seems Logit
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05/29/2018: Team Epsilon, DataFest - UC Irvine
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03/20/2018: Bella Feng, Machine Learning with Tree-Based Models in R
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02/27/2018: Paul Glezen, Classification Trees
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02/27/2018: J. Alfredo Freites, Exploring Decision Trees with R
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01/23/2018: John Peach, Categorical and Regression Trees (CART)
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01/23/2018: Robert Mohr, Using and Improving Decision Trees in R
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01/26/2017: John Peach, Error and Condition Handling in R
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01/26/2017: Lawrence Wu, rstudio::conf 2016 Recap
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02/23/2017: Pasha Safarzadeh, Swirlify
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02/23/2017: Ryan Benz, An Introduction to Predictive Modeling in R
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04/27/2017: Guanjun Bella Feng, R Programming in a Regulated Environment
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04/27/2017: Ash Pahwa, Sports Predictive Analytics
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06/27/2017: Ryan Benz, RRII: Recent R Items of Interest
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08/24/2017: Yemi Odeyemi, Basic Introduction To Image Analysis with R
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08/24/2017: Paul Glezen, R "Warm-up"- Split-Apply-Combine (Lesson 1)
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09/29/2017: Paul Glezen, R "Warm-up"- Distributions
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11/30/2017: Bella Feng, Introduction to Machine Learning with R
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11/30/2017: Peter Stemler, Sales to Date
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10/27/2016: Bryan Smith, Generating Cash Flow Expectations for Lending Club
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10/27/2016: Ryan Benz, Virtual Realities
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12/08/2016: Arun Rangarajan, ggplot2: An Introduction
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12/08/2016: Michael Tepper, Debt Paydown Calculator In R Using FlexDashboard, dplyr, and plot_ly