Offered By: IBM
Automate ML Pipelines Using Apache Airflow
By mastering Apache Airflow you will gain hands-on experience in building a KNN classification model for the Iris dataset, using Apache Airflow for workflow automation. You will also have learned how to deploy the trained model for prediction, and how to generate a DAG ( Directed Acyclic Graph ) for a data pipeline. It will increase productivity, reduce costs, and have faster time-to-insight. These skills are essential for any data scientist or engineer working on classification tasks and data pipelines and can be applied to a wide range of other datasets and workflows.
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Data Science
503 EnrolledAt a Glance
By mastering Apache Airflow you will gain hands-on experience in building a KNN classification model for the Iris dataset, using Apache Airflow for workflow automation. You will also have learned how to deploy the trained model for prediction, and how to generate a DAG ( Directed Acyclic Graph ) for a data pipeline. It will increase productivity, reduce costs, and have faster time-to-insight. These skills are essential for any data scientist or engineer working on classification tasks and data pipelines and can be applied to a wide range of other datasets and workflows.
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Certificate
No Certificate Offered
Estimated Effort
45 Minutes
Level
Intermediate
Industries
Information Technology
Skills You Will Learn
Artificial Intelligence, Data Science, Machine Learning, Python
Language
English
Course Code
GPXX0DNQEN