visualize_ML
A Python package for automated univariate and bivariate data analysis and visualization to streamline machine learning workflows.
What is visualize_ML?
visualize_ML is a Python package that automates univariate and bivariate data analysis and visualization for machine learning tasks. It helps users explore datasets, understand variable distributions, and identify relationships between features through automated plotting and statistical testing, streamlining the initial steps of a machine learning workflow.
Data scientists, machine learning practitioners, and analysts who need to perform exploratory data analysis and feature selection quickly and efficiently, especially those working with structured datasets in Python.
It consolidates multiple visualization and statistical analysis tasks into a simple, unified interface, saving time compared to manually coding plots and tests with libraries like matplotlib and scikit-learn individually.
Overview
Python package for consolidated and extensive Univariate,Bivariate Data Analysis and Visualization catering to both categorical and continuous datasets.
Use Cases
Best For
- Automating exploratory data analysis for structured datasets
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