Python-bloggers

The video below shows how to conduct a t-test and an ANOVA analysis using the pingouin library from Python.

Auto XGBoost, Auto LighGBM, Auto CatBoost, Auto GradientBoosting

Ahh, SHAP. As you know it’s become one of the leading frameworks for explaining ML model predictions. I’d guess it’s popularity is due to its appealing theoretical basis, its universal applicability to any type of ML model, and its easy-to-use python package. SHAP promises to turn your ...

Ahh, SHAP. As you know it’s become one of the leading frameworks for explaining ML model predictions. I’d guess it’s popularity is due to its appealing theoretical basis, its universal applicability to any type of ML model, and its easy-to-use python package. SHAP promises to turn your ...

Rhino, the R package development framework created by Appsilon, has recently released two updates – versions 1.8 and 1.9. In this fireside chat, Kamil Żyła (one of the core developers of Rhino) and Marek Rogala (Appsilon’s Head of Technology) sit down to discuss these updates and the vision behind Rhino. Watch ...

In today’s data-driven world, the integration of data analytics in various sectors has proven to be transformative, and the field of education is no exception. The ability to systematically analyse large volumes of data offers unprecedented insights and solutions, particularly in the realm of educational investigations. As educational institutions ...

Machine Learning is transforming how we design drugs, model diseases, develop treatments, and conduct clinical trials. We recently collaborated with IIMCB to carry out augmented RNA-Ligand binding prediction with machine learning. Learn more about our work in this blog post. These advancements are helping researchers and healthcare professionals make smarter ...

Probabilistic Forecasting with nnetsauce (using Density Estimation, Bayesian inference, Conformal prediction and Vine copulas): nnetsauce presentation at sktime meetup (2024-07-26)

In pharmaceutical research, the exploration of RNA-ligand interactions is a significant challenge, marking a stark contrast to the more developed understanding of protein-ligand interactions. Our AI model reduces the number of missed protein crystals by over 30% compared to state-of-the-art benchmarks. Learn more about Crystal Clear Vision.  This complexity arises from ...