Alternatives and similar repositories for talks

Users that are interested in talks are comparing it to the libraries listed below

• NatanMish / data_validation
  Tutorial for implementing data validation in data science pipelines
  ☆33Updated 3 years ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆38Updated 2 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 5 years ago
• iterative / VSCode-DVC-Workshop
  Workshop about DVC VSCode Extension
  ☆13Updated last year
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 6 years ago
• koaning / icepickle
  It's a cooler way to store simple linear models.
  ☆27Updated last year
• jphall663 / GWU_rml
  ☆39Updated 6 months ago
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆81Updated 2 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆83Updated 2 months ago
• summerscope / fair-ml-reading-group
  Reading history for Fair ML Reading Group in Melbourne
  ☆36Updated 4 years ago
• astrojuanlu / talk-dataframes
  Talk "Beyond pandas: The great Python dataframe showdown"
  ☆37Updated 3 years ago
• DataForScience / Graphs4Sci
  ☆48Updated last year
• Isaac-Flath / QuartoTemplates
  ☆20Updated 3 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆119Updated 3 years ago
• poloclub / timbertrek
  Explore and compare 1K+ accurate decision trees in your browser!
  ☆169Updated last year
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆32Updated 3 years ago
• wimlds / berlin-ds-lab
  WiMLDS Berlin Data Science Lab
  ☆17Updated 8 months ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 2 years ago
• microsoft / pyspark_propensity_matching
  library for conducting propensity matching on spark scale
  ☆14Updated 2 years ago
• sktime / sktime-workshop-pydata-london-2022
  PyData London 2022 sktime workshop
  ☆11Updated 2 years ago
• data-science-lab-amsterdam / skippa
  SciKIt-learn Pipeline in PAndas
  ☆42Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆75Updated last month
• drivendataorg / odsc-actionable-ethics
  "Actionable Ethics for Data Scientists" Workshop Material @ ODSC
  ☆10Updated last year
• normconf / awesome-normconf
  List of resources coming out of Normconf Slack
  ☆76Updated 2 years ago
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago