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Forecasting Oil Prices with Time Series & Generalized Additive Models for Location, Scale and Shape

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⛽ Oil Prices Forecast: Time Series & Generalized Additive Models for Location, Scale and Shape

Goals:

  • Create functions to automate the transformation of variables and get statistics.
  • Explore the Oil Dataset with Time Series concepts.
  • Feature selection using LASSO regularization
  • Adjust a multivariate model to predictions using GAMLSS.
  • Evaluate the models and order to choose the better model.
  • Make predictions about the future.

oildatatimeseries.html - html report explaining all the analysis.

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Forecasting Oil Prices with Time Series & Generalized Additive Models for Location, Scale and Shape

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feature-selection gamlss forecasting-models time-series-analysis lasso-regression generalised-additive-models

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