tamsanh / kedro-introduction-tutorialLinks
It's the Complete Beginner's Guide to Kedro! See the video here: https://youtu.be/x97ChYDd12U
☆22Updated 3 years ago
Alternatives and similar repositories for kedro-introduction-tutorial
Users that are interested in kedro-introduction-tutorial are comparing it to the libraries listed below
Sorting:
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- Examples of data science projects created with Kedro.☆173Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Pytest for Data Science Beginners☆59Updated 6 years ago
- Template repository for data science lifecycle project☆197Updated 5 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- ☆27Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 2 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆240Updated 5 years ago
- Basic and advanced MLflow examples for many ML flavors☆235Updated last year
- Production Data Science: a workflow for collaborative data science aimed at production☆454Updated 5 years ago
- This is an example project to understand how to work with Kedro and MLFlow for machine learning projects.☆12Updated 3 years ago
- An example MLflow project☆274Updated last year
- ☆44Updated 2 years ago
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆74Updated 3 years ago
- An example MLFlow project☆49Updated 9 months ago
- ☆64Updated last year
- Managing machine learning life-cycle with MLflow tutorial☆23Updated 2 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆71Updated 4 months ago
- Code from the book Fighting Churn With Data☆300Updated 2 months ago
- Find documentation and a template project for delivering Kedro training.☆27Updated 2 years ago
- ☆37Updated 3 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- Code demonstrating a simple Machine Learning model abstract base class and its uses.☆14Updated 2 years ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆84Updated 2 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Joining the modern data stack with the modern ML stack☆200Updated 2 years ago