Regression and time estimation in the manufacturing industry

Detta är en Kandidat-uppsats från Uppsala universitet/Statistik, AI och data science

Sammanfattning: In this thesis an analysis is performed on operation times for different sized products in a manufacturing company. The thesis will introduce and summarise most of the theory needed to perform regression and also cover a worked example where three different regression models are learned, evaluated and analysed. Conformal prediction, which at the moment is a hot topic in machine learning, will also be introduced and will be used in the worked example.

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