Tag: data science

, we will implement AUC in Excel. AUC is usually used for classification tasks as a performance metric. But we ...

focus on isolated tasks or simple prompt engineering. This approach allowed us to build interesting applications from a single prompt, ...

of my Machine Learning Advent Calendar. Before closing this series, I would like to sincerely thank everyone who followed it, ...

were first introduced for images, and for images they are often easy to understand. A filter slides over pixels and ...

of this series, we will talk about deep learning. And when people talk about deep learning, we immediately think of ...

For 18 days, we have explored most of the core machine learning models, organized into three major families: distance- and ...

Neural Network Regressor, we now move to the classifier version. From a mathematical point of view, the two models are ...

be honest. Writing code in 2025 is much easier than it was ten, or even five, years ago. We moved ...

With Logistic Regression, we learned how to classify into two classes. Now, what happens if there are more than two ...

One day, a data scientist told that Ridge Regression was a complicated model. Because he saw that the training formula ...