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Machine learning project using 2 datasets, one to train regression models that predict the maximum daily temperature based on the minimum and one to train classification models that classify red wines quality using its' features. Made using KNIME.

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ADI - Project (21/22)

Machine Learning and Decision-Making's project which consists in developing several Machine Learning models in KNIME for 2 datasets, one about wine quality classification (given to us by the Teachers) and one about temperature prediction (choosen by us because our goal was to work with a regression dataset).

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Daniel Azevedo
Rodrigo Rodrigues
Guilherme Monteiro
Zé Miguel Pereira

Final grade: 14/20

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Machine learning project using 2 datasets, one to train regression models that predict the maximum daily temperature based on the minimum and one to train classification models that classify red wines quality using its' features. Made using KNIME.

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