Data Science

This case study demonstrates how to apply predictive modelling to a real-world data centre energy dataset using Python. We will explore the data, identify the key drivers of energy consumption, build a machine learning model to predict optimal energy usage, and extract actionable insights that operators can use to reduce both costs and carbon emissions.

This case study examines Canada's federal greenhouse gas emissions in the context of climate change, providing data-derived insights and potential solutions to address this pressing environmental challenge at the national level.