Python-bloggers

ShinyConf 2024 was a resounding success! We brought together the vibrant R/Shiny community for three days of insightful sessions, engaging workshops, and valuable networking opportunities. From seasoned developers to newcomers, the conference had something for everyone. Insightful Sessions and Memorable Speakers The sessions covered a wide range of topics, from ...

Recently, I encountered a task in Excel where I needed to identify the top N values within each group. Generally, I’ve found that working with groups in Excel can be less than user-friendly for many tasks, and I was hopeful that some of the newer dynamic array functions might ...

Standing for Extensible Markup Language, XML is one of the most commonly used data formats for data storage and exchange. It’s a text based language introduced as an alternative to the classic HTML, which has reached its actual limits regarding data. XML allows defining and storing data in a ...

Are you an R/Shiny user looking to leverage the incredible capabilities of Shiny for Python without sacrificing the familiarity and comfort of your existing tools? Introducing Tapyr—our Shiny for Python framework. It brings Rhino-like capabilities from the R world and more to the Shiny for Python ecosystem, helping ...

LSBoost's boosting with Elastic Net, polynomials and heterogeneity in explanatory variables.

The following notebook demonstrates how to use GridSearchCV to identify optimal hyperparameters for a given model and metric, and alternatives for selecting a classifier threshold in scikit-learn. First we load the breast cancer dataset. We will...

The Singular Value Decomposition (SVD) is a mathematical technique used in linear algebra to decompose a matrix into three other matrices. Specifically, for any matrix , the SVD is a factorization of the form where: is . is (unitary with o...

The Singular Value Decomposition (SVD) is a mathematical technique used in linear algebra to decompose a matrix into three other matrices. Specifically, for any matrix , the SVD is a factorization of the form where: is . is (unitary with o...

The elbow method is a heuristic used in determining the optimal number of clusters in a k-means clustering algorithm. It is called the elbow method because it involves plotting the explained variation as a function of the number of clusters, and...

The following notebook demonstrates how to use GridSearchCV to identify optimal hyperparameters for a given model and metric, and alternatives for selecting a classifier threshold in scikit-learn. First we load the breast cancer dataset. We will...