Remove 2011 Remove Cross Validation Remove ML
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Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption

Mlearning.ai

For the purposes of this tutorial, I’ve chosen the London Energy Dataset which contains the energy consumption of 5,567 randomly selected households in the city of London, UK for the time period of November 2011 to February 2014. Grid search utilizes cross validation too, so it is crucial to provide an appropriate splitting mechanism.

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Efficiently train, tune, and deploy custom ensembles using Amazon SageMaker

AWS Machine Learning Blog

As AI has evolved, we have seen different types of machine learning (ML) models emerge. This final estimator’s training process often uses cross-validation. We also implement a k-fold cross validation function. Artificial intelligence (AI) has become an important and popular topic in the technology community.

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