Continuing MLOps with Kedro Pipelines

This week we will continue our MLOps series by looking at the pipeline approach for machine learning operations. In our case, we will use Kedro for the implementation framework and discuss other products and frameworks that provide a similar approach.

We will use our product recommendation project as a concrete example of building pipelines. By the end of the session, we will have the pipeline connected with GitHub actions to run the pipeline when changes are pushed to the repository.

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