elleobrien / wine
wine prediction dataset
☆61Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for wine
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 3 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆83Updated 2 years ago
- Example machine learning pipeline with MLflow and Hydra☆87Updated last year
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆35Updated 2 years ago
- Data Science Quick Tips Repository!☆48Updated 9 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆39Updated last year
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated 11 months ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆72Updated 2 years ago
- Deep Learning with fastai Cookbook, published by Packt☆59Updated 3 years ago
- An end-to-end project on customer segmentation☆82Updated last year
- ☆61Updated 5 months ago
- Applied Machine Learning with Python☆77Updated 7 months ago
- Machine Learning pipeline MVP on Docker and Apache Airflow☆15Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆110Updated last year
- Feature engineering package with sklearn like functionality☆51Updated 2 months ago
- Serving TensorFlow models with TensorFlow Serving☆44Updated 2 years ago
- Example MLOps using BentoML & mlFlow☆37Updated 3 years ago
- Slides and notebook for the workshop on serving bert models in production☆24Updated 2 years ago
- ☆18Updated 3 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 four p…☆38Updated 3 years ago
- Using AWS Lambda with Docker to deploy a deep learning model☆22Updated 3 years ago
- ☆14Updated last year
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…☆14Updated 3 years ago
- From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.☆13Updated last year
- Example repo to kickstart integration with mlflow recipes.☆37Updated 2 months ago
- ☆13Updated 3 years ago
- ☆23Updated last month
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆143Updated 7 months ago