Getting Started with FormulaML
Learn the basics of FormulaML and create your first machine learning model in Excel. Perfect for beginners with no programming experience.
FormulaML brings the power of machine learning directly into Excel through simple, intuitive formulas. No programming experience required.
FormulaML is an Excel add-in that enables you to:
All FormulaML functions start with the ML.
prefix, making them easy to find and use.
Start with our Getting Started Guide to learn the basics and create your first model in minutes.
Learn how to prepare and explore your data using FormulaML’s data handling functions.
Explore available models and algorithms for regression, classification, and clustering tasks.
Understand how to evaluate your models and interpret results for business decisions.
Browse our examples and tutorials for step-by-step workflows using real datasets.
Discover advanced features like pipelines, preprocessing, and dimensionality reduction.
Find detailed documentation for all FormulaML functions organized by category.
Get help with common issues and best practices in our tips and troubleshooting guide.
FormulaML offers both free and premium features:
FormulaML uses “object handles” to manage complex data and models in Excel. Think of these as references that allow Excel to work with machine learning objects efficiently. You’ll see these as values like <Dataset>
or <LinearRegression>
in your cells. Trained models show a 🧠 brain icon to distinguish them from untrained models. Don’t worry - we’ll explain how to use them effectively in the Getting Started Guide.
Start your machine learning journey in Excel:
Welcome to the world of machine learning in Excel with FormulaML!
Learn the basics of FormulaML and create your first machine learning model in Excel. Perfect for beginners with no programming experience.
Learn how to load, explore, and prepare data for machine learning in Excel using FormulaML's data handling functions.
Comprehensive guide to machine learning models available in FormulaML. Learn when and how to use regression, classification, and clustering algorithms.
Learn how to evaluate machine learning models in FormulaML. Understand metrics, validation techniques, and how to interpret results for business decisions.
Step-by-step tutorials and practical examples for machine learning in Excel with FormulaML. Learn through complete, real-world workflows.
Master advanced FormulaML capabilities including pipelines, preprocessing, dimensionality reduction, and feature engineering for sophisticated ML workflows.
Complete reference for all FormulaML functions. Find syntax, parameters, and usage examples organized by category.
Common issues, solutions, and best practices for FormulaML. Get help with errors, optimize performance, and learn pro tips.