Let's say you've got data of many paired cases of two ordinal variables, like you might when you ask a large number of people the same two Likert scale questions (e.g. "poor", "fair", "good", "very good", "excellent").   What could you learn from...

???? Expand for EKG code library(hrbrthemes) library(elementalist) # remotes::install_github("teunbrand/elementalist") library(ggplot2) read_csv( file = "~/Data/apple_health_export/electrocardiograms/ecg_2020-09-24.csv", # this is extracted below skip = 12, col_names = "µV" ) %__% mutate( idx = 1:n() ) -__ ekg ggplot() + geom_line_theme( data = ekg %__% tail(3000) %__% head(2500), aes(idx, µ...

This is blog 3 of my endeavors for the currently ongoing Kaggle challenge posted by ACEA. A short introduction of the challenge is below. What I am trying to do with these blogs is not to create perfect tutorials that contain perfectly revised code, but rather document my own learning process ...

Build an MNIST Classifier With Random Forests Simple image classification tasks don’t require deep learning models. Today you’ll learn how to build a handwritten digit classifier from scratch with R and Random Forests and what are the “gotchas” in the process. Are you completely new to machine learning? ...

The partial dependence plot is a nice tool to analyse the impact of some explanatory variables when using nonlinear models, such as a random forest, or some gradient boosting.The idea (in dimension 2), given a model for . The partial dependence plot for variable is model is function defined as . This ...

Using pipe %__% or chaining commands is very intuitive for creating following set of commands for data preparation. Visualization library ggplot in this manner uses sign “+” (plus) to do all the chaining. What if we would have to replace…Read more ›

activation functions in package mlsauce's new version

This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from starting out with first modeling steps to tuning more complex models. Today’s screencast is a short one! It walks through how we can use tidyv...

Many running races and events have been cancelled or disrupted due to the pandemic. To fill the void, I’ve been taking on Garmin’s “Challenges”. In Garmin Connect, you can accept a challenge set by Garmin (I think users can challenge each other too). Completion of these challenges gives ...

???? Each month, we release tons of great content on R for Business. Register to get fresh R Tips straight to your inbox. Max Kuhn (the Tidymodels Master) joins Learning Labs webinar for an in-depth tutorial on Feature Engineering for Customer Analytic...

Insert Lead paragraph here. Introduction In this article I would like to take a look at some coding principles and best practices and discuss what can help you, as a data analyst, write and maintain code that can be easily shared and understood by other analysts or yourself, when you ...