Alternatives and similar repositories for production-data-science

Users that are interested in production-data-science are comparing it to the libraries listed below

• davified / clean-code-ml
  Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
  ☆731Updated 3 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• makcedward / ds_project_template
  Data Science Project Template
  ☆140Updated 7 years ago
• robert8138 / python-deliberate-practice
  Deliberate Practice for Learning Python
  ☆549Updated 6 months ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆156Updated 5 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆418Updated last year
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆142Updated 3 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆280Updated 8 years ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated 10 months ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• Azure / Azure-TDSP-ProjectTemplate
  TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project …
  ☆572Updated 5 years ago
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 2 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆680Updated last year
• aajains / springboard-datascience-intensive
  ☆35Updated 7 years ago
• Coldsp33d / stackoverflow-pandas-canonicals
  A directory listing of all my pandas canonicals on Stack Overflow to date.
  ☆174Updated 4 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• xLaszlo / datascience-fails
  Collection of articles listing reasons why data science projects fail.
  ☆465Updated 4 years ago
• brohrer / academic_advisory
  Collected opinions and advice for academic programs focused on data science skills.
  ☆440Updated 5 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 5 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆136Updated last year
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 7 years ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆670Updated 3 years ago
• Erlemar / Erlemar.github.io
  Data science portfolio
  ☆365Updated 4 years ago
• gkamradt / Lessons-Learned-Data-Science-Interviews
  Lessons learned the hard way through over 30+ data science interviews
  ☆228Updated 5 years ago
• dslp / dslp
  The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process …
  ☆520Updated 4 years ago
• bgweber / StartupDataScience
  ☆293Updated 6 years ago