Custom ML Models with Darts Tutorial
Overview
Learn how to develop and deploy custom machine learning applications using the Darts framework for time series analysis within Digitalhub. This tutorial demonstrates building specialized ML workflows for time series forecasting and management.
What You'll Learn
- Setting up custom ML projects with specialized frameworks
- Working with the Darts library for time series analysis
- Building time series forecasting models
- Integrating custom ML frameworks with Digitalhub
- Deploying specialized ML models as services
Getting Started
- Import the Jupyter notebook
notebook-cml-darts-ci.ipynb
into your Coder instance - Execute each cell step by step following the instructions
Resources
- 📁 Source Files: digitalhub-tutorials/s6-custom-ml-model
- 📈 Darts Documentation: Official Darts documentation