Multivariate Machine-Learning Models for CO₂-Emissions Forecasting

Most participants watch the videos at 1.5x speed. Course Overview: A comprehensive course on developing multivariate machine learning models for CO2 emissions forecasting across regions. Prerequisites: None Duration: 8 hours, 50 minutes Course Description: The course teaches how to develop, in Python, the following multivariate machine learning models: Linear Regression, Shallow Neural Networks, Deep Learning, and Vector Autoregression. You will then learn how to train them and make forecasts of CO2 emissions for various regions (China, India, USA, UK, etc.).