Viewing profile — mloning

You can get prescription inlets for some of them, including these ones.

Location: Europe Remote: hybrid or remote Willing to relocate: yes Technologies: Python, Kubernetes, C#, SQL, MLFlow, Azure, Terraform, bash, scikit-learn, pytorch Résumé/CV: upon …

We're actually interfacing tsfresh. Unifying ML with time series is perhaps better understood in terms of the different learning tasks (e.g. time series classification/regression/c…

We're interfacing statsmodels and pmdarima for the implementation of the ARIMA model. I believe that you can persist models in statsmodels without saving the whole training data.

sktime is a toolbox with the goal to support multiple models and composition techniques, Prophet is a particular model. We're working on interfacing it so that you can call it usin…