chrisalbon / sklearn-flask-docker

Related projects: ⓘ

• bgweber / DS_Production
  ☆155Updated 3 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 6 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 3 weeks ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆42Updated last month
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆36Updated 4 years ago
• veekaybee / til
  Today I Learned Some Computer Stuff
  ☆39Updated 6 years ago
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆67Updated 5 years ago
• ZWMiller / nlp_pipe_manager
  A pipeline for NLP projects using SkLearn
  ☆23Updated 5 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆99Updated 2 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆130Updated 8 months ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆81Updated 3 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated last year
• tgoldenberg / kedro-mlflow-example
  ☆42Updated last year
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆116Updated 4 years ago
• cmawer / reproducible-model
  ☆86Updated 5 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated last year
• hgrif / example-project
  Example Python DS project
  ☆71Updated 6 years ago
• gvwilson / 12-design
  ☆127Updated this week
• amueller / aml
  Applied Machine Learning with Python
  ☆76Updated 5 months ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆74Updated last year
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 3 months ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆145Updated 11 months ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆160Updated 3 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 5 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆104Updated 5 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆141Updated 5 months ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆162Updated 4 years ago
• angelabassa / data-science-competency-matrix
  ☆125Updated 5 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated last year
• cambridgespark / pydata-testing-for-data-science
  ☆25Updated 3 months ago