dslp / dslpLinks
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
☆522Updated 4 years ago
Alternatives and similar repositories for dslp
Users that are interested in dslp are comparing it to the libraries listed below
Sorting:
- Template repository for data science lifecycle project☆198Updated 5 years ago
- TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project …☆576Updated 5 years ago
- Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT☆731Updated 4 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆509Updated 3 months ago
- Production Data Science: a workflow for collaborative data science aimed at production☆456Updated 5 years ago
- A command line tool to easily add an ethics checklist to your data science projects.☆301Updated 2 months ago
- Start a data science project with modern tools☆203Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆229Updated last week
- Collection of articles listing reasons why data science projects fail.☆464Updated 4 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆626Updated 2 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆873Updated 2 years ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 3 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆474Updated 6 months ago
- A curated list of awesome posts, videos, and articles on leading a data team (small and large)☆540Updated 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 …☆241Updated 5 years ago
- sidetable builds simple but useful summary tables of your data☆392Updated 3 years ago
- Data Quality assessment with one line of code☆452Updated last month
- ☆705Updated 3 years ago
- Examples of data science projects created with Kedro.☆173Updated 2 years ago
- Code from the book Fighting Churn With Data☆304Updated 4 months ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆397Updated 10 months ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆83Updated 2 months ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆320Updated last year
- A directory listing of all my pandas canonicals on Stack Overflow to date.☆174Updated 4 years ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆435Updated 9 months ago
- Data Analysis Baseline Library☆727Updated 11 months ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 3 years ago
- Template for a data science project☆763Updated 3 months ago
- Tutorials on creating a reproducible and maintainable data science project☆150Updated 3 years ago