Alternatives and similar repositories for refarch-data-ai-analytics:

Users that are interested in refarch-data-ai-analytics are comparing it to the libraries listed below

• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 4 months ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• joosthub / pytorch-nlp-tutorial-eu2018
  O'Reilly AI training - London 2018
  ☆22Updated 6 years ago
• firmai / business-datasets
  A selection of business datasets
  ☆18Updated 5 years ago
• fastai / sklearn-pandas
  Pandas integration with sklearn
  ☆21Updated 8 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• allenai / aiconf-allennlp-tutorial
  allennlp tutorial for O'Reilly AI Conference, September 2019
  ☆22Updated 5 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 5 years ago
• PipelineAI / notebooks
  Sample Notebooks for PipelineAI
  ☆44Updated 2 years ago
• ContentSquare / ml-in-prod
  Tutorial repo for the article "ML in Production"
  ☆30Updated 2 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 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
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• githubuser1983 / webscikit
  Webscikit is a set of tools to run a webserver as a JSON Webservice for scikit-learn predictions. It comes with two examples: boston and …
  ☆9Updated 7 years ago
• NYUBigDataProject / SparkClean
  A Scalable Data Cleaning Library for PySpark.
  ☆26Updated 5 years ago
• jphall663 / GWU_rml
  ☆35Updated last month
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆15Updated 5 years ago
• srlearn / rnlp
  Relational NLP: Convert text into relational facts.
  ☆9Updated 5 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• garretthoffman / Strata_2018_DL_4_NLP
  Slides and Code Tutorials for Strata Data 2018 Tutorial on Deep Learning Methodologies for Natural Language Processing
  ☆22Updated 6 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• tevgeniou / Data_Analytics_Case_MarketSegmentation_LuxuryGoods
  ☆15Updated 10 years ago
• oreillymedia / Data_Analytics_with_Hadoop
  ☆16Updated 7 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• thedataincubator / excel-to-python
  Examples of how Python can speed up tasks that are cumbersome in Excel
  ☆13Updated 8 years ago