{ "cells": [ { "cell_type": "markdown", "id": "d334d0e1-6da5-4e70-b4cd-2ee30e359092", "metadata": {}, "source": [ "# Tutorial: Ensemble Methods for Wind Capacity Factor Prediction\n", "\n", "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgitlab.in2p3.fr%2Fenergy4climate%2Fpublic%2Feducation%2Fmachine_learning_for_climate_and_energy/master?filepath=book%2Fnotebooks%2F08_tutorial_ensemble_methods_windcf_prediction.ipynb)\n", "\n", "Tutorial to the class [Ensemble Methods](08_ensemble_methods.ipynb) based on the same case study as in [Tutorial: Regularization, Model Selection and Evaluation](05_tutorial_regularization_selection_evaluation.ipynb) and [Tutorial: Introduction to Unsupervised Learning with a Focus on PCA](08_tutorial_unsupervised_learning_pca.ipynb)." ] }, { "cell_type": "markdown", "id": "6b3af824-5f9e-44cc-b0d0-6a6b16f34bf8", "metadata": {}, "source": [ "