Alternatives and similar repositories for imbalanced-data

Users that are interested in imbalanced-data are comparing it to the libraries listed below

• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆160Updated 5 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 6 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆78Updated 3 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated last year
• MustafaOguz / Survival_Analysis
  Survival Analysis with non-parametric, semi-parametric, and parametric models
  ☆40Updated 7 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 8 months ago
• rajshah4 / inter_workshop
  Workshop materials for ODSC 2019 Interpretability Talk
  ☆25Updated 5 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 3 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆32Updated 3 years ago
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 5 years ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆53Updated 5 years ago
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆24Updated 7 years ago