The second rOpenSci OzUnConf was held in Melbourne Australia a few weeks ago. A diverse range of scientists, developers and general good-eggs came together to make some R-magic happen and also learn a lot along the way. Before the conference began, a huge stack of projects were suggested on the ...

Introduction Kaggle.com is a website designed for data scientists and data enthusiasts to connect and compete with each other. It is an open community that hosts […]

Introduction Recently, Dataiku 4.1.0 was released, it now offers much more support for R users. But wait a minute, Data-what? I guess some of you do not know Dataiku, so what is Dataiku in the first place? It is a … Continue reading →

Customer churn occurs when customers or subscribers stop doing business with a company or service, also known as customer attrition. It is also referred as loss of clients or customers. One industry in which churn rates are particularly useful is the telecommunications industry, because most customers have multiple options from ...

Introduction Residential real estate prices are fascinating... and frustrating. The homebuyer, the home-seller, the real estate agent, the economist, and the banker are all interested in […]

Nested timings 1) Sys.time() 2) The tictoc package Comparing functions 1) system.time() 2) The microbenchmark package Conclusion As time goes on, your R scripts are probably getting longer and more complicated, right? Timing parts of your script could save you precious time when re-running code over and over again. Today I’m ...

You can now book me and my 1-day workshop on deep learning with Keras and TensorFlow using R. In my workshop, you will learn the basics of deep learning what cross-entropy and loss is about activation functions how to optimize weights and biases with ...