The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel
Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density E...
Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article, we take a different path. Starting from Kernel Density E...
Automate Excel Pivot Table Creation with Python !Automate Excel Pivot Table Creation with Pythonhttps://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=s...
Instead of starting with margins and geometry, this article builds the Support Vector Machine step by step from familiar models. By changing the loss function a...
Elevate your data from spreadsheet to strategy In finance, investment banking, and professional data analysis, a raw Excel spreadsheet isn’t enough. Your data n...
Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What ch...
Introduction In today’s business world, data plays a big role in decision making. Companies use data in finance, operations, marketing, and planning to underst...
In this article, we rebuild Logistic Regression step by step directly in Excel. The post The Machine Learning “Advent Calendar” Day 12: Logistic Regression in E...
Prerequisites Before you start, make sure you have the following: - Visual Studio installed on your machine. - Spire.XLS installed. You can download it from th...
Getting Started with Spire.XLS for .NET Before we dive into the code, set up your development environment. Spire.XLS for .NET can be added to a C project via N...
Bank statements usually come in PDF format, which is great for reading but not ideal when you need to analyze, sort, or import the data. If you've ever tried co...
Linear Regression looks simple, but it introduces the core ideas of modern machine learning: loss functions, optimization, gradients, scaling, and interpretatio...
DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. The post The Machine Learning “Advent Calendar” Day 1...