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machine learning

Comparing Machine-Learning Forecasts: CO₂-Emissions Case Study

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About

Most participants watch the videos at 1.5× speed. Prerequisite online courses: 1) Univariate Linear Regression for CO₂-Emissions Forecasting 2) Univariate ARIMA Modelling for CO₂-Emissions Forecasting 3) Univariate Shallow Neural Networks for CO₂-Emissions Forecasting 4) Univariate Deep Neural Networks for CO₂-Emissions Forecasting Duration: 2h 27m Course Description: Learn to compare the forecasting performance of machine learning models in Python. The application is for forecasting CO₂ emissions. ​

Overview

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© 2026 Dr Spyros Giannelos
London, United Kingdom
spyros@spyrosgiannelos.com
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