mstaniak / autoEDA-resources
A list of software and papers related to automatic and fast Exploratory Data Analysis
β430Updated last month
Alternatives and similar repositories for autoEDA-resources
Users that are interested in autoEDA-resources are comparing it to the libraries listed below
Sorting:
- π Interactive Studio for Explanatory Model Analysisβ332Updated last year
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatioβ¦β690Updated 2 years ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Modelsβ187Updated last year
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, β¦β677Updated 10 months ago
- H2O.ai Machine Learning Interpretability Resourcesβ488Updated 4 years ago
- Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!β104Updated 2 years ago
- Speed Up Exploratory Data Analysis (EDA)β137Updated last year
- Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnsonβ735Updated last year
- R package for automation of machine learning, forecasting, model evaluation, and model interpretationβ243Updated 2 weeks ago
- moDel Agnostic Language for Exploration and eXplanationβ1,422Updated 3 months ago
- Data Analysis Baseline Libraryβ132Updated 6 months ago
- A curated list of research, applications and projects built using the H2O Machine Learning platformβ380Updated last year
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upoβ¦β538Updated 3 months ago
- iml: interpretable machine learning R packageβ498Updated 2 months ago
- Data Analysis Baseline Libraryβ728Updated 5 months ago
- Automated exploratory data analysisβ82Updated 5 years ago
- Production Data Science: a workflow for collaborative data science aimed at productionβ453Updated 4 years ago
- Automate Data Exploration and Treatmentβ524Updated last year
- A set of data tools in Pythonβ502Updated 4 months ago
- Python package for Imputation Methodsβ248Updated last year
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Labβ224Updated 5 years ago
- Flexible tool for bias detection, visualization, and mitigationβ86Updated 3 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimatorsβ335Updated 7 months ago
- Analytics & Machine Learning R Sidekickβ234Updated last week
- A command line tool to easily add an ethics checklist to your data science projects.β295Updated 10 months 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..β¦β133Updated 9 months ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selectionβ117Updated 2 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distrβ¦β121Updated 4 months ago
- Forecast the US demand for electricityβ99Updated 3 years ago
- A central repository of Business Science presentationsβ168Updated 5 years ago