Tutorial 1

Hyperparameter Optimization with Scikit-learn and RAPIDS

This notebook introduces a practical GPU-accelerated workflow for model development using familiar Scikit-learn patterns together with RAPIDS components.

Open In Colab

What you will do

  • open and run a Colab-based RAPIDS workflow
  • prepare data for GPU-accelerated experimentation
  • train and compare models with a reusable notebook pipeline
  • explore hyperparameter optimization in a familiar Python workflow

Notebook source


This site uses Just the Docs, a documentation theme for Jekyll.