mattkearns / automated-data-preprocessingLinks
A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables.
☆36Updated 6 years ago
Alternatives and similar repositories for automated-data-preprocessing
Users that are interested in automated-data-preprocessing are comparing it to the libraries listed below
Sorting:
- Work for Mastering Large Datasets with Python☆19Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 4 months ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Validation for forecasts☆18Updated 2 years ago
- Examples how MLJAR can be used☆60Updated last year
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- SciKIt-learn Pipeline in PAndas☆42Updated last year
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆71Updated 3 years ago
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 4 years ago
- Python package for Bayesian & Frequentist A/B Testing☆12Updated last year
- Process, visualize and use data easily.☆20Updated last year
- datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…☆58Updated 3 years ago
- Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning☆27Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning …☆44Updated 3 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- The purpose of this project is to process the dataset, analyze it, do some feature engineering and finally make a predictive loan model f…☆15Updated 5 years ago
- ☆16Updated 7 years ago
- Server that simplifies connecting pandas to a realtime data feed, testing hypothesis and visualizing results in a web browser☆33Updated 2 years ago
- Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!☆104Updated 2 years ago
- Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)☆19Updated 6 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated last year