Alternatives and similar repositories for datascience:

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

• amueller / aml
  Applied Machine Learning with Python
  ☆77Updated 10 months ago
• ilias-ant / adversarial-validation
  A tiny framework to perform adversarial validation of your training and test data.
  ☆20Updated last month
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆65Updated 9 months ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated 3 weeks ago
• SylwiaOliwia2 / xgboost-AutoTune
  Wrap-up to automatically tune xgboost in Python.
  ☆79Updated 3 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 8 months ago
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆14Updated 11 months ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆52Updated 4 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated last year
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• davidsbatista / machine-learning-notebooks
  Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
  ☆45Updated 6 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated last year
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆61Updated 2 years ago
• tusharsarkar3 / TLA
  A comprehensive tool for linguistic analysis of communities
  ☆49Updated 3 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆51Updated 4 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• lmassaron / deep_learning_for_tabular_data
  A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras
  ☆41Updated last year
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆31Updated last year
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 5 years ago