Presentation materials from our monthly meetings
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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 Hvitfeltdt, 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