AutoML with nnetsauce, that implements randomized and quasi-randomized 'neural' networks for supervised learning and time series forecasting

In an era where data drives critical decisions, interactive dashboards and data applications have ascended as indispensable tools across sectors like business, scientific research, and more. This is especially true in fields like life sciences, where the need for accessible data analytics and visualization is critical for research and healthcare ...

Randomized and Quasi-Randomized 'neural' networks for supervised learning and multivariate time series forecasting

Tell me dear reader, who among us, while gazing in wonder at the improbably verdant aloe vera clinging to the windswept rock at Cape Point near the southern tip of Africa, hasn’t wondered: how the heck do gradient boosting trees implement multi-cl...

When it comes to deploying Shiny for Python applications, you have options – some of which are entirely free. If you have been a developer for some time, you know free deployment isn’t always a given, especially when working with newer, more demanding tech stacks. Luckily, GitHub pages allow you ...

In the field of machine learning, the evaluation of classification model performance is a critical aspect. Lift, a well-regarded metric, plays an essential role in this evaluation, especially in contexts such as targeted marketing and fraud detection. This article aims to provide a detailed overview of calculating and interpreting Lift ...

Python is a general purpose, high level language which, thanks to its simplicity and versatility, has become very popular, especially within the data science community. The extensive Python community has developed and contributed thousands of libraries and packages over the years in a plethora of different disciplines to aid developers ...

There’s only two weeks left to go until Shiny in Production 2023! The events team are hard at work getting things ready for the day, and we wanted to take this opportunity to say a huge than...

For an article on A/B testing that I am preparing, I asked my partner Dr. Nina Zumel if she could do me a favor and write some code to produce the diagrams. She prepared an excellent parameterized diagram generator. However being the author of the book Practical Data Science ...