A non exhaustive list of the machine learning/data science tools I have been using.

Apache Airflow

An open-source platform to programmatically author, schedule, and monitor workflows.

Apache Beam

A programming model for defining and executing data processing pipelines.

MLflow

A tool for simplifying the process of developing, deploying, and maintaining machine learning models in a production environment.

Numpy

A Python library for numerical computing and data manipulation.

pandas

A Python library for data manipulation and analysis.

Scikit-learn

A Python library for machine learning.

Tensorflow

An open-source machine learning framework developed by Google.

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