Alternatives and similar repositories for code-test-data-science:

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

• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• sigopt / SigOptR
  SigOpt's public R client
  ☆14Updated last year
• jphall663 / GWU_rml
  ☆35Updated this week
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• jm-contreras / data-science-management-resources
  A list of resources for current and aspiring data science managers
  ☆16Updated 4 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• pipeline-tools / gusty-demo
  A containerized demo of Airflow using gusty
  ☆39Updated 9 months ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 5 months ago
• szilard / teach-ML-CEU-master-bizanalytics
  Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
  ☆21Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• drivendataorg / drivendata-submission-validator
  Simple validator for submissions to DrivenData competitions
  ☆19Updated 5 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 6 years ago
• edgararuiz-zz / bigdatalondon2018
  Materials from the Data Science with Spark and R
  ☆21Updated 6 years ago
• normconf / goodies
  NormConf Goodies API
  ☆22Updated 2 years ago
• ModelOriented / xai2shiny
  Create Shiny application with model exploration from explainers
  ☆19Updated 4 years ago
• pmbaumgartner / streamlitopedia
  Collection of code snippets and utilities for streamlit apps
  ☆22Updated 5 years ago
• slopp / scheduledsnow
  Snow forecasts for front range Colorado ski areas
  ☆17Updated 2 years ago
• GoranMilovanovic / Distributional-Semantics-in-R
  Tutorial on text-mining and distributional semantics with {tm}, {openNLP}, and {topicmodels} in R. Based on my BelgradeR Meetup - Methods…
  ☆20Updated 8 years ago
• lgellis / Predictive_Analytics_Tutorial
  ☆10Updated 6 years ago
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated last year
• drivendataorg / odsc-actionable-ethics
  "Actionable Ethics for Data Scientists" Workshop Material @ ODSC
  ☆10Updated 10 months ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• szilard / ML-scoring
  Compare the scoring speed of several open source machine learning libraries.
  ☆21Updated 7 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• woobe / lime_water
  Automatic and Interpretable Machine Learning with H2O and LIME
  ☆11Updated 7 years ago
• EagerAI / tfaddons
  R interface to TensorFlow 2.x SIG-Addons
  ☆20Updated last year