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Learning data and model versioning with ClearML while cleaning and modeling happiness by country with a Kaggle dataset

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tahonick/MLOps-Data-versioning-with-ClearML

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MLOps-Data-versioning-with-ClearML

One of the most challenging components of data science collaboration and experimentation is keeping track of changes to data and changes to models. ClearML is one of many solutions to these problems.

This repository includes an example of data and model versioning with ClearML while in the process of cleaning and modeling a Kaggle data set that represents happiness by country.

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Learning data and model versioning with ClearML while cleaning and modeling happiness by country with a Kaggle dataset

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