mattkearns / automated-data-preprocessing
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
- Examples how MLJAR can be used☆59Updated last year
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated 3 weeks ago
- A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning …☆43Updated 2 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated last year
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- ☀️🦶 A lightweight framework for collaborative, open-source feature engineering☆32Updated 3 years ago
- Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)☆19Updated 6 years ago
- Model to accurately forecast inventory demand based on historical sales data.☆58Updated 8 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- ☆25Updated 3 years ago
- Predict whether or not a patient will show up to their next appointment using automated feature engineering☆29Updated 4 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆120Updated 9 months ago
- Hello world univariate examples for a variety of time series packages.☆56Updated 4 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 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
- Create Interactive Dashboards with Streamlit and Python Coursera☆10Updated 4 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 5 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 3 years ago
- 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
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆34Updated 4 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆70Updated 3 years ago
- Pipeline Explorer - Explore and analyze millions of pipelines learned using MLBlocks and MLPrimitives.☆17Updated last year
- Deployment of PyCaret pipeline and Streamlit app on GCP Kubernetes☆16Updated 4 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆104Updated last year
- Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!☆102Updated 2 years ago
- Statistical analysis and visualization of state transition phenomena☆86Updated 2 months ago
- Work for Mastering Large Datasets with Python☆18Updated 2 years ago