rosevoul / ml-work

ML Work covers steps, tips and example hacks on Machine Learning Modeling from problem definition to deployment, scaling and monitoring.

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ml-work

Machine Learning Work

Tools

ML

  • pycaret
  • h2o.ai
  • MLflow
  • Scikit-learn
  • Tensorflow
  • Parquet and data storage options
  • PySpark

Orchestration and Web-apps

  • SQLAlchemy and Flask
  • Airflow

Auxiliary

About

ML Work covers steps, tips and example hacks on Machine Learning Modeling from problem definition to deployment, scaling and monitoring.