mstaniak / autoEDA-resourcesLinks
A list of software and papers related to automatic and fast Exploratory Data Analysis
☆431Updated 6 months ago
Alternatives and similar repositories for autoEDA-resources
Users that are interested in autoEDA-resources are comparing it to the libraries listed below
Sorting:
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatio…☆689Updated 2 years ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆195Updated last year
- moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)☆1,445Updated last week
- 📍 Interactive Studio for Explanatory Model Analysis☆333Updated 2 years ago
- Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!☆105Updated 2 years ago
- A curated list of research, applications and projects built using the H2O Machine Learning platform☆387Updated 2 years ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆542Updated 9 months ago
- Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson☆744Updated last year
- Data Analysis Baseline Library☆133Updated last year
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆680Updated last year
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆418Updated last year
- Recipes for Driverless AI☆256Updated last week
- Production Data Science: a workflow for collaborative data science aimed at production☆454Updated 5 years ago
- Data Analysis Baseline Library☆727Updated 10 months ago
- data⎰describe: Pythonic EDA Accelerator for Data Science☆302Updated 2 years ago
- This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…☆134Updated last year
- iml: interpretable machine learning R package☆501Updated 8 months ago
- A set of data tools in Python☆506Updated 2 weeks ago
- Python package for Gower distance☆80Updated last year
- This repository contains ROC and precision-recall curve animations☆257Updated last year
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆224Updated 5 years ago
- Easy to use Python library of customized functions for cleaning and analyzing data.☆521Updated 3 weeks ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 9 months ago
- Resources for Data Science Process management☆205Updated 5 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 9 months ago
- Template repository for data science lifecycle project☆198Updated 5 years ago
- A command line tool to easily add an ethics checklist to your data science projects.☆300Updated last month
- Tutorial given at PyData LA 2018☆97Updated last year