smartML 0.1.7

An ML library for various tasks!

SmartML: Revolutionizing Machine Learning Workflows 🚀

Welcome to SmartML, the ultimate Python library designed to simplify and accelerate your machine learning projects. Whether you're a beginner exploring ML or an expert seeking efficiency, SmartML empowers you to build, evaluate, and optimize models seamlessly.

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Features

• Data Preprocessing: Handle missing values, normalize datasets, encode categorical variables, and more with a single function call.
• Model Building: Create powerful machine learning models using built-in support for popular algorithms like Random Forest, XGBoost, and SVM.
• Evaluation Suite: Comprehensive evaluation metrics and visualizations to understand and refine your model's performance.
• Scalable Workflows: Streamlined APIs to quickly transition from prototyping to production.

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Installation

Install SmartML effortlessly with pip:

pip install smartml

How to Use

from smartML.algorithm.tree_algorithm import DecisionTree

tree = DecisionTree()

This simple workflow will help you get started with data preprocessing, model training, evaluation, and result visualization in no time.

Contribution

We welcome contributions from the community! Here's how you can get involved:

Fork the repository. Create a feature branch for your work. Submit a pull request.

License

This project is licensed under the MIT License. You are free to use, modify, and distribute this library.

Feedback and Support

Have any questions, suggestions, or feature requests?

Open an issue on GitHub. Reach out to us directly via email or discussion forums.