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ML model to predict the heating load and cooling load in a residential building

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ML MODEL FOR ENERGY EFFICIENCY

Description:

Objective of the project is to create a highly efficient machine learning model to predict the heating load and cooling load in a residential building using eight input variables.

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ML model to predict the heating load and cooling load in a residential building

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