Scikit-Learn Model Training Tutorial

Overview

Learn how to develop and deploy a scikit-learn machine learning application using Digitalhub. This tutorial covers data preparation, model training, and service deployment in a complete ML workflow.

What You'll Learn

• Setting up ML projects in Digitalhub
• Data preparation for machine learning
• Training scikit-learn models
• Model deployment and serving
• End-to-end ML pipeline management

Getting Started

1. Import the Jupyter notebook notebook-scikit-learn.ipynb into your Coder instance
2. Execute each cell step by step following the instructions

Resources

• 📁 Source Files: digitalhub-tutorials/s3-scikit-learn
• 🔧 Scikit-learn Documentation: Official scikit-learn docs