In this week's video, I react to AI and ML in movies. #AI #MachineLearning #React Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over different ways to create #MachineLearning models with big data. I first go over how to convert an existing R Model into a SQL query using tidypredict. I also show how to solve translation problems between SQL and R. Finally I go over how to create a machine learning pipeline with #Spark. Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayBigData.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over the basics of prophet and how to work with time-series datasets with #TidyModels. I go over basic plots using prophet and show the various resampling methods with TidyModels. Finally, I go over how to create a helper function to tune a model using resampled datasets and evaluate the forecasts using MASE. #Forecasting Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayProphetForecasting.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over ggplot2 extensions that help create useful plots. #GGplot2 #DataScience Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayggplot2Extensions.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over the ggplot2 package and explain how to create plots for beginners. I explain the philosophy of grammar of graphics and then go on to create simple plots. I go over how the differences between fill and color and explain how to basic chart formatting. Lastly, I show how to save and export plots so that they can be shared with other people. GGplot2 Formatting Guides: http://www.sthda.com/english/wiki/ggplot2-essentials #Tidyverse #DataScience Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayGGplot2.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over the included plotting functions with #TidyModels. I go over a basic #MachineLearning workflow and show helpful plots for evaluating models. Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayAutoplot.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over the main features of RStudio and show what a basic data science workflow looks like using RStudio. #RStudio #DataScience Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over some techniques to improve an R Shiny Dashboard's speed. I first identify some issues with a previous dashboard and explain ways to quickly improve the performance of the dashboard. Then, I go over a fast version of the dashboard and explain how to use caching and the usage of base R functions. Lastly, I show a package that is useful for identifying bottlenecks for dashboards that could be put into production. #RShiny #ShinyDashboard Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/tree/master/Season%202/Apps/Shiny_Speed TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over reactive variables and events using #RShiny. I first show how to upload data into a dashboard and have the filters change programmatically. I then go on to create a simple dashboard for EDAs and explain how to create event-driven reactive functions using action buttons and reactive variables. Finally, I show how to export results into excel files using the download button. #ShinyDashboard Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/tree/master/Season%202/Apps/Shiny_Reactive TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I start a new series where I show the basics of developing dashboards with #RShiny. I demo all of the available base shiny filters using R Shiny and #shinydashboard. I then explain the filters that are most useful in typical dashboard development. Lastly, I show a basic workflow of constructing a plot and developing filters. Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Apps/Shiny_Filters/Shiny_Filters.R TidyTuesday: https://github.com/rfordatascience/tidytuesday Twitter: https://twitter.com/Andr3wCouch

In this week's #TidyTuesday video, I go over the main uses of the #Purrr package. I give a brief overview of map and its relationship to for loops. I then go over examples of using map and map2 with #TidyModels. Lastly, I show how to create progress bars for mapping functions and how to quickly use parallel processing with furrr. Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayPurrr.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday

In this week's #TidyTuesday video, I go over Readr, Stringr, and Forcats packages. I explain the applications of each package and then go over each package's most useful functions. #Tidyverse #DataScience Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayReadrStringrForecats.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday

In this #TidyTuesday week's video, I rank common data visualizations. #DataVisualization #DataScience Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Make Your Own List: https://tiermaker.com/create/data-visualizations-975592 TidyTuesday: https://github.com/rfordatascience/tidytuesday

In this week's #TidyTuesday video, I go over the basics of Dpylr and Tidyr. I explain the differences between the two packages and how they interact with each other in a Data Science workflow. I then go over the most commonly used functions from each package. #Tidyverse #DataScience Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayTidyrDplyr.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday

In this week's #TidyTuesday video, I go over common methods for handling data with a large number of correlated features. Using #TidyModels I go over general feature elimination methods using recipes. I then explain issues with correlated features and ways to analyze which correlated components to select. I explain different #MachineLearning algorithms that are useful for handling high-dimensional correlated data. I then show how to use domain knowledge and intuition by utilizing model variable importance scores. Finally, I show a brute force method of utilizing recursive feature elimination. Connect with me on LinkedIn: https://www.linkedin.com/in/andrew-couch/ Code for this video: https://github.com/andrew-couch/Tidy-Tuesday/blob/master/Season%202/Scripts/TidyTuesdayDimensionalityReduction.Rmd TidyTuesday: https://github.com/rfordatascience/tidytuesday