Today we’ll be moving from linear regression to logistic regression. This lesson also introduces a lot of new dplyr verbs for data cleaning and summarizing that we haven’t used before. Once again, I’ll be taking for granted some of the set-up steps from Lesson 1, so if you ... [Read more...]

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Only 6 days left to the end of the call for papers for eRum 2016! Register and submit your talk proposal at www.erum.ue.poznan.pl. European R users meeting will be a great place to learn and share ideas on R. Moreover, we have already confirmed the following invited talks: ... [Read more...]

[social4i size=”large” align=”float-right”] Guest post by Kirill Eremenko  Hi there! My name is Kirill Eremenko and I teach R on Udemy. In this quick [Read more...]

Part of my (slowly) working pipeline of coding projects has been an R package that wraps the fantastic HaveIBeenPwned.com API. If you’re not already familiar with HaveIBeenPwned, rectify the situation, NOW! Don’t worry about continuing to read the rest of the post; getting yourself signed up for ... [Read more...]

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In case you missed them, here are some articles from May of particular interest to R users. A 3-part tutorial on principal components regression in R: part 1, part 2, and part 3. Implications of the fact that in R, names have objects (and not vice-versa). Highlights of the R/Finance 2016 conference, according ... [Read more...]

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Part of our mission at The Data Lab is to create jobs in Data Science. This got us thinking that perhaps we should find a systematic way of quantifying the job market in Scotland and generally. We stumbled upon Adzuna, never heard of it? It’s quite c... [Read more...]

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Part of our mission at The Data Lab is to create jobs in Data Science. This got us thinking that perhaps we should find a systematic way of quantifying the job market in Scotland and generally. We stumbled upon Adzuna, never heard of it? It’s quite cool, looks and ... [Read more...]

Requests (https://github.com/kennethreitz/requests) is a popular http request handling package. Its code is supposed to be well written and pythonic. So I decided to learn from it and improve my Python programming. Here is something that I learned or re-learned. [Read more...]

Human faces provide various information about emotions. Microsoft launched a free service in December 2015 to analyze human faces detecting their emotions. The emotions detected are anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. These emotions are understood to be cross-culturally and universally communicated with particular facial expressions. The Emotion ... [Read more...]

by Max Kuhn: Director, Nonclinical Statistics, Pfizer Many predictive and machine learning models have structural or tuning parameters that cannot be directly estimated from the data. For example, when using K-nearest neighbor model, there is no analytical estimator for K (the number of neighbors). Typically, resampling is used to get ... [Read more...]

EARL 2016 – Early Bird Tickets Deadline EARLY BIRD Conference Tickets are only available until midnight on the 10th June. For all Early Bird options please check our website. Speakers Announced EARL 2016 is an exciting cross-sector Conference dedicated to the … Continue reading → [Read more...]