eZWALT/eZAutoML
A Democratized, lightweight and modern framework for Python Automated Machine Learning
This tool helps data analysts and domain experts quickly build and compare predictive models for classification and regression tasks without needing extensive machine learning expertise. You provide a dataset (like a CSV or parquet file) with a target column, and it automatically finds the best model and preprocessing steps, outputting the optimized model ready for use. It's designed for professionals who need to make predictions from tabular data.
No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly develop a machine learning model from tabular data for classification or regression and want to automate the complex process of model selection and hyperparameter tuning.
Not ideal if you require deep customization of every model component or are working with non-tabular data types like images, text, or time-series data.
Stars
52
Forks
2
Language
Python
License
BSD-3-Clause
Category
Last pushed
May 13, 2025
Commits (30d)
0
Dependencies
8
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