Alternatives and similar repositories for imbalanced-data

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

• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated last year
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated 11 months ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 9 months ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago
• jphall663 / GWU_rml
  ☆37Updated last week
• david-cortes / datascienceprojects
  Sample data science projects (machine learning, optimization, business intelligence)
  ☆27Updated 6 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
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 6 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 5 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆41Updated 4 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 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…
  ☆62Updated 2 years ago
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆38Updated 5 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated last year
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 5 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• kylegallatin / components-of-an-ml-system
  ☆11Updated 2 years ago
• gaganmanku96 / Docker-Tutorial---Data-Scientists
  ☆27Updated 5 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated 11 months ago
• DoktorMike / dammmdatagen
  Marketing Mix Modeling Data Generator
  ☆45Updated 3 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆19Updated 2 years ago