abhinavsp0730/kedro-examples

Examples of data science projects created with Kedro.

What is kedro-examples?

This repo contains links to all official and community created example Kedro projects as well as the complete version of the spaceflights tutorial.

What will I find in this repository?

• We recommend starting with kedro-tutorial, which is the complete version of the Space Flights tutorial described in the Kedro documentation and includes the data necessary to run the project. Some of the old code examples are available in the following links:

  • Kedro 0.14.0
  • Kedro 0.15.0
  • Kedro 0.15.5
  • Kedro 0.15.8
  • Kedro 0.16.1
  • Kedro 0.16.4

Where can I find more learning material and kedro-examples?

The Kedro-Training repository contains documentation that you can use to deliver Kedro training.

These repositories contain the official Kedro tutorial projects, also known as starters:

• Spaceflights tutorial
• Iris dataset tutorial with pandas
• Iris dataset tutorial with pyspark

Our community of Kedro users are creating their own profile projects, you can have a look at:

• Response Recommendation System for BarefootLaw by Kasun Amarasinghe, Carlos Caro, Nupoor Gandhi and Raphaelle Roffo, an extensive Data Science for Social Good (DSSG) at Imperial College London project that recommends responses to law related queries
• Augury by Craig Franklin, machine-learning functionality for predicting AFL match results in the Tipresias app
• CausalLift by Yusuke Minami, a Python package for Uplift Modeling in real-world business
• PipelineX by Yusuke Minami, a Python package to develop pipelines for rapid Machine/Deep Learning experimentation using Kedro and MLflow. Example projects using PyTorch, Pandas, and OpenCV are available.
• kedro-mlflow-example by Tom Goldenberg, a project that demonstrates how to integrate MLflow with a Kedro codebase
• kedro-wdbc-tf by Abhinav Prakash, this project uses a Kedro template to create Deep Learning workflow. The model training was done with TensorFlow against the wdbc (Breast Cancer) dataset.

What licence do you use?

Kedro is licensed under the Apache 2.0 License.