In part-1 of this project, the task is to build an explainable ML model using H2o package on the bike rental dataset and display various plots and noting the insights. In part-2, the task is to build a docker container to perform batch serving of a ML model. Skills & Tools Covered Python, Machine learning, AutoML, Explainable AI, H2o, Docker.
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In part-1 of this project, the task is to build an explainable ML model using H2o package on the bike rental dataset and display various plots and noting the insights. In part-2, the task is to build a docker container to perform batch serving of a ML model.
Nishad21/Part-1-Explainable-ML-model-using-H2o-package.-Part-2-Docker-containers-batch-serving-of-a-ML-model
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In part-1 of this project, the task is to build an explainable ML model using H2o package on the bike rental dataset and display various plots and noting the insights. In part-2, the task is to build a docker container to perform batch serving of a ML model.
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