ml_util

A collection of utility functions and tools for machine learning workflows, written entirely in Python. This library aims to streamline common ML tasks, improve reproducibility, and accelerate experimentation for data scientists and machine learning engineers.

Features

• Preprocessing utilities for numerical and categorical data
• Visualization helpers for common ML plots
• Convenient wrappers for model evaluation
• Data splitting and manipulation tools
• Utility functions for pipelines and experiments
• Easily extendable and customizable

Getting Started

Prerequisites

• Python 3.7 or newer
• pip (Python package installer)

Installation

Clone the repository and install dependencies (if any):

git clone https://github.com/Somansh1/ml_util.git
cd ml_util
pip install -r requirements.txt

Usage

Import the utilities in your Python script or notebook:

from ml_util import preprocessing, visualization, evaluation

Refer to the code documentation and examples in the repository for more details on specific functions.

Contributing

Contributions, suggestions, and bug reports are welcome! Open an issue or submit a pull request to help improve the project.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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Built with Python for seamless machine learning development.