davidyakobovitch / data_science_standardsLinks
Data Science Standards - Framework to Productionize Projects throughout the Data Science and Production Solution Lifecycle
โ44Updated 3 years ago
Alternatives and similar repositories for data_science_standards
Users that are interested in data_science_standards are comparing it to the libraries listed below
Sorting:
- ๐งช Simple data science experimentation & tracking with jupyter, papermill, and mlflow.โ183Updated last year
- ๐ Data Science Resources, Data Science Standards & Machine Learning Pipelinesโ159Updated 2 years ago
- Tutorial given at PyData LA 2018โ97Updated 10 months ago
- Deep Learning Workshop for Data Science Go Virtual Event Summer 2020โ36Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20โ247Updated 3 years ago
- โ155Updated 4 years ago
- A short workshop on datascience pipelines using mlflow and airflowโ53Updated 2 years ago
- Applied Machine Learning with Pythonโ80Updated last year
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and relatedโ56Updated 3 years ago
- List of interesting articles on different topics of machine learning and deep learningโ166Updated 2 years ago
- Introduction to Machine learning with Python, 4h interactive workshopโ311Updated 5 years ago
- โ78Updated 2 years ago
- Template repository for data science lifecycle projectโ194Updated 5 years ago
- โ63Updated last year
- Advanced Machine Learning with Scikit-learn part Iโ141Updated 5 years ago
- Machine learning fundamentals lesson in interactive notebooksโ179Updated 4 years ago
- Notebook and slides for my talk at Pydata NYC 2018โ88Updated last year
- 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 โฆโ240Updated 4 years ago
- Added repo for PyData LA 2018 tutorialโ88Updated 6 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OHโ155Updated 4 years ago
- โ86Updated 6 years ago
- ๐ Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.โ148Updated last year
- Python data science and machine learning from Ted Petrou with Dunder Dataโ55Updated 2 years ago
- Matt Brems' Missing Data Workshopโ83Updated 2 years ago
- ML project template facilitating both research and production phases.โ109Updated 5 years ago
- 100 exercises to learn Python Datatableโ269Updated 3 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"โ136Updated last year
- โ101Updated 7 years ago
- โ33Updated 2 years ago
- Advanced Machine Learning with Scikit-learn part IIโ163Updated 5 years ago