kedro-mlflow-tutorial

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

1 week challenge

Visualise your Kedro data and machine-learning pipelines and track your experiments.

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

Kedro Plugin to support running workflows on Kubeflow Pipelines

Kedro plugin to support running workflows on Microsoft Azure ML Pipelines

Kedro Plugin to support running workflows on GCP Vertex AI Pipelines

Wind Power Forecasting using Machine Learning techniques.

Using ChatGPT to build a Kedro ML pipeline and Streamlit frontend

Kedro Plugin to support running pipelines on Kubernetes using Airflow.