kangas 2.4.9

Generate profile report for pandas DataFrame

PyOptimus is a Python library that brings together the power of various data processing engines like Pandas, Dask, cuDF, Dask-cuDF, Vaex, and PySpark under a single, easy-to-use API. It offers over 100 functions for data cleaning and processing, including handling strings, processing dates, URLs, and emails. PyOptimus also provides out-of-the-box functions for data exploration and quality fixing. One of the key features of PyOptimus is its ability to handle large datasets efficiently, allowing you to use the same code to process data on your laptop or on a remote cluster of GPUs.

Optimus is the missing framework for cleaning and pre-processing data in a distributed fashion with pyspark.

A pandas-based library to visualize and compare datasets.

daal4py is a Convenient Python API to the Intel® oneAPI Data Analytics Library (oneDAL)

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.

Python library for easily interacting with trained machine learning models

a data typing library for machine learning

Toolbox for imbalanced dataset in machine learning.