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readme.md

readme.md

Explore what Azure Machine Learning Package for Forecasting has to offer through these notebooks.

  • Dominick_OJ_Sales_Forecasting: Demonstrates the overall notebook flow on sales of orange juices
  • Data_Wrangling_Sample: examples of pandas functionality that is frequently used in AMLPF - MultiIndex, slicing, etc.
  • Introduction_to_TimeSeriesDataFrames: how the core internal data structure works
  • Plotting_Functions_in_AMLPF: visualizing and plotting time series with AMLPF
  • AMLPF_models_sample_notebook: examples of time series forecasting models in AMLPF
  • Constructing_Lags_and_Explaining_Origin_Times: explains how we approach the concept of "horizon"
  • Forecast_Package_Transforms: examples of data transforms in AMLPF
  • Time_Series_Cross_Validation: the concepts of cross-validation as applied to time series and the TSCV classes that AMLPF has

Full package reference docs: https://azuremlpackages.blob.core.windows.net/forecasting/release1901/documentation/index.html

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