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This data challenge used carbon emission rates sorted by each country to prove or debunk common climate change assumptions with data science. Understanding trends of the past and simulating future outcomes through available data seeks to lead to better awareness, business intelligence, and policy shaping in years to come.

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Pickl AI

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Data Scientists use various techniques, including Machine Learning , Statistical Modelling, and Data Visualisation, to transform raw data into actionable knowledge. Importance of Data Science Data Science is crucial in decision-making and business intelligence across various industries.

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Forecasting Carbon Emission Across Continents Research & Data Challenge Review

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