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mlflow

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bonneraj / retail_sales_time_series

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A repo containing a few exploratory notebooks for statistical (ARIMA) and supervised ML (random forest, KNN) approaches to time series analysis of monthly retail sales (sourced from St. Louis Fed). Notebooks also explore the use of MLFlow for experiment tracking, model registration, and deployment/inference.

jupyter-notebook arima time-series-analysis knn-regression random-forest-regression mlflow
  • Updated May 30, 2023
  • Jupyter Notebook

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