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
• 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
• normconf / goodies
  NormConf Goodies API
  ☆22Updated 2 years ago
• sigopt / SigOptR
  SigOpt's public R client
  ☆14Updated last year
• pipeline-tools / gusty-demo
  A containerized demo of Airflow using gusty
  ☆39Updated 10 months ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• jphall663 / GWU_rml
  ☆37Updated last week
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆43Updated 3 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• cleanzr / fasthash
  Performs unique entity estimation corresponding to Chen, Shrivastava, Steorts (2018).
  ☆14Updated 6 years ago
• azukds / tubular
  Python package implementing transformers for pre processing steps for machine learning.
  ☆59Updated last week
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• szilard / teach-ML-CEU-master-bizanalytics
  Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
  ☆21Updated 6 years ago
• minimaxir / ncaa-basketball
  R Code + R Notebook on how to process and visualize NCAA basketball data.
  ☆16Updated 7 years ago
• EagerAI / tfaddons
  R interface to TensorFlow 2.x SIG-Addons
  ☆20Updated last year
• canyon289 / causal_inf_bookclub
  Supporting material for the book club
  ☆15Updated 2 years ago
• jm-contreras / data-science-management-resources
  A list of resources for current and aspiring data science managers
  ☆16Updated 4 years ago
• nyuvis / partial_dependence
  Python package to visualize and cluster partial dependence.
  ☆28Updated 3 years ago
• amrrs / drag_drop_ggplot_esquisse
  This code is to demonstrate the use of esquisse to generate ggplot2 with drag and drop
  ☆9Updated 6 years ago
• drivendataorg / drivendata-submission-validator
  Simple validator for submissions to DrivenData competitions
  ☆19Updated 5 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 years ago
• talkpython / nlp-with-python-and-spacy-course
  Course materials for our "Getting Started with NLP and spaCy" course at Talk Python
  ☆38Updated last month
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 6 months ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 6 months ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• lgellis / Predictive_Analytics_Tutorial
  ☆10Updated 6 years ago
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated last year
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated last year