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.
☆519Updated 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☆196Updated 5 years ago
- TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project …☆567Updated 5 years ago
- Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT☆730Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated last year
- Collection of articles listing reasons why data science projects fail.☆465Updated 4 years ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆504Updated last week
- A command line tool to easily add an ethics checklist to your data science projects.☆299Updated last week
- A curated list of awesome posts, videos, and articles on leading a data team (small and large)☆540Updated last year
- Start a data science project with modern tools☆201Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆224Updated this week
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 3 months ago
- skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.☆469Updated last week
- Data Quality assessment with one line of code☆449Updated last week
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆869Updated 2 years ago
- Production Data Science: a workflow for collaborative data science aimed at production☆454Updated 5 years ago
- Extra blocks for scikit-learn pipelines.☆1,355Updated 2 months ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆618Updated 2 years ago
- Data Analysis Baseline Library☆728Updated 8 months ago
- Examples of data science projects created with Kedro.☆173Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- Code from the book Fighting Churn With Data☆297Updated last month
- Natural Intelligence is still a pretty good idea.☆821Updated last year
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆435Updated 7 months ago
- sidetable builds simple but useful summary tables of your data☆393Updated 2 years ago
- ☆704Updated 3 years ago
- Predictive Power Score (PPS) in Python☆1,156Updated 8 months ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆144Updated 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 …☆240Updated 5 years ago
- Find documentation and a template project for delivering Kedro training.☆27Updated 2 years ago
- Template for a data science project☆732Updated last month