Welcome to the Machine Gnostics Tutorials

These tutorials are designed to help you master the Machine Gnostics framework for robust, interpretable, and assumption-free data analysis and machine learning. Whether you are a beginner or an advanced user, you will find step-by-step guides, practical code examples, and conceptual explanations to accelerate your learning.

---

Getting Started

Before you begin, please ensure that Machine Gnostics is installed correctly in your environment.

• See the Installation Guide for setup instructions.
• Check out Tutorials Library for step-by-step instructions.

Note

Machine Gnostics is based on Mathematical Gnostics theorems. The procedures and inference of results may differ from standard statistical methods, offering new perspectives and robust diagnostics.

---

What You'll Learn

• Data Analysis

  • Gnostic Distribution Function
  • Gnostic Data Tests
  • Advanced Data Analysis

• Machine Learning

  • Regression
  • Classification
  • Clustering
  • Forecasting
  • MLflow Integration

• Metrics

  • Regular ML Metrics
  • Gnostic Metrics

• Deep Learning

  • Neural Networks
  • Coming soon!

Example Notebooks

Explore hands-on Jupyter notebooks for each topic in the Tutorials section.

---

Ready to begin?

Start with the first tutorial or jump to the topic that interests you most. Each tutorial is self-contained and includes code, explanations, and practical tips.