Prediction of the adjusted electricity sales using simple machine learning algorithms like linear regression, GAMs, MARS and Random Forests
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Updated
Jun 29, 2018 - R
Prediction of the adjusted electricity sales using simple machine learning algorithms like linear regression, GAMs, MARS and Random Forests
Shiny App to visualise and fit a GAM
This is the repository used to make the project titled 'Grass Pollen in Cape Town: A Comparison of Generalised Additive Models and Random Forests' by Sky Cope and Chloë Stipinovich.
Functions for using GAMs to model time series
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
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