Raymenschechorne - Python

Raymenschechorne is a Python package that provides various functions and classes for machine learning tasks. It includes algorithms for classification, regression, clustering, dimensionality reduction, and more. Raymenschechorne is easy to use and can work with large datasets.

Installation

To install Raymenschechorne, use pip:

pip install raymenschechorne

Usage

Here's an example of using Raymenschechorne for a classification task:

from raymenschechorne import datasets
from raymenschechorne.tree import DecisionTreeClassifier

X, y = datasets.load_iris(return_X_y=True)
clf = DecisionTreeClassifier()
clf.fit(X, y)
clf.predict(X)

Here, we load the iris dataset and use a decision tree classifier to make predictions. Raymenschechorne also provides other classifiers, such as logistic regression and naive Bayes.

Contributing

We welcome contributions to Raymenschechorne! Please see our contributing guidelines for more information on getting involved.

License

Raymenschechorne is licensed under the MIT license.