Egü

Egü is a Python package that provides a collection of utilities and tools for machine learning, data science, and statistics. It's designed to be easy to use, and flexible enough to accommodate a wide range of projects and workflows. Whether you're just getting started with machine learning, or you're an experienced data scientist, Egü can help you get your work done more efficiently and effectively.

Installation

To install Egü, simply run:

pip install egu

Getting Started

Once you've installed Egü, you can import it into your Python code:

import egu

Egü provides a variety of modules and classes for different tasks. For example, you can use the egu.datasets module to load popular datasets like the Iris dataset:

from egu.datasets import load_iris

data = load_iris()
print(data.head())

Egü also provides tools for data preprocessing, dimensionality reduction, feature selection, and more. For example, you can use the egu.preprocessing module to standardize your data:

from egu.preprocessing import StandardScaler

scaler = StandardScaler()
X = scaler.fit_transform(X)

Conclusion

Egü provides a comprehensive set of tools and utilities for machine learning, data science, and statistics. With its easy-to-use API and rich feature set, it's an excellent choice for anyone looking to streamline their data workflows and build more effective models. Give it a try today!