Auto-Sklearn

Explaining 7 Cross-Validation Methods in Machine Learning

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Explaining 7 Cross-Validation Methods in Machine Learning

Source: Machine Learning Community, Data Science THU During the model building phase of any supervised machine learning project, the goal of training the model is to learn the best values for weights and biases from labeled examples. If we use the same labeled examples to test our model, it will be a methodological error because … Read more

Comprehensive Guide to Automated Machine Learning AutoML: Auto-Sklearn

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Comprehensive Guide to Automated Machine Learning AutoML: Auto-Sklearn

This article will systematically and comprehensively introduce one of the commonly used frameworks in automated machine learning: Auto-Sklearn. It will cover installation and usage, classification and regression case studies, as well as some user manual introductions. Come and study with the little monkey! AutoML Automated Machine Learning (AutoML) is a relatively new field in machine … Read more