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 11 months ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 7 months ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 5 months ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆13Updated 10 months ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 7 months ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆60Updated last year
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 4 months ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆51Updated 4 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• jphall663 / GWU_rml
  ☆35Updated this week
• amueller / aml
  Applied Machine Learning with Python
  ☆77Updated 9 months ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆27Updated 3 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• david-cortes / datascienceprojects
  Sample data science projects (machine learning, optimization, business intelligence)
  ☆26Updated 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
• medoidai / ts-changepoint-detection-app
  An R/Shiny app for time-series segmentation and changepoint detection tasks.
  ☆17Updated 4 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• rvaughan / DataInterviewQuestions
  ☆30Updated 5 years ago
• rajshah4 / inter_workshop
  Workshop materials for ODSC 2019 Interpretability Talk
  ☆25Updated 4 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆53Updated 2 years ago
• aswalin / Outlier-Impact-Treatment
  The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models
  ☆23Updated 6 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆50Updated last year