The dataset used for this project is taken from the official UCI Machine Learning Repository.
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Updated
Jun 13, 2023 - Jupyter Notebook
The dataset used for this project is taken from the official UCI Machine Learning Repository.
A machine learning project focused on forecasting energy consumption in the steel industry using a linear regression model.
Quantitative Carbon Risk Model for the Global Steel Sector | Excel + Python (EDA) | Scenario Analysis & CBAM Stress-Testing
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