Awesome Python Data Science

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

An open source python library for automated feature engineering

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Feature engineering and selection open-source Python library compatible with sklearn.

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠