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Awesome GitHub RepositoriesBikes Availability Forecasting
Estimates the number of bikes available at a given time using a trained machine learning model and input features.
Distinguishing note: Distinct from general ML forecasting models; specifically targets urban bike-sharing availability prediction.
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- fmind/mlops-python-package
fmind/mlops-python-package
1,413Ver en GitHubThe mlops-python-package serves as a standardized Python project template, data access abstraction layer, and workflow orchestrator for machine learning operations. It structures artificial intelligence workflows by connecting data processing and model training steps using directed acyclic graphs to manage execution order and inter-step dependencies. The framework manages external configuration files and global service contexts to control program execution parameters and share dependencies across the application lifecycle. It includes strict type schema validation for tabular data frames and
Estimates the number of bikes available at a given time using a trained machine learning model and input features.
Jupyter Notebookautomationdata-engineeringdata-pipelines
