Finally, it’s the moment you’ve been waiting for. In this micro lesson, we will be applying either 1) regression modeling or 2) a machine learning (ML) model onto your paper consumption data, depending on your level of comfort. Regression modeling and machine learning model training are powerful techniques that allow us to gain deeper insights and make accurate predictions based on data. In the context of paper consumption data, these approaches enable us to uncover meaningful patterns and relationships within the data. Regression modeling focuses on understanding the dependency between one or more independent variables and a dependent variable, allowing us to predict outcomes. On the other hand, ML model training involves using algorithms to develop predictive models that can automatically learn from data and make predictions or classifications. Please refer to ASF's Paper Consumption Program for registration instructions: https://www.asustainablefuture.org/challenge-page/39299256-7d01-46cd-9497-ca1aedfd88d7
You can also join this program via the mobile app.
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