Welcome to the CatBoost Getting Started Guide!

CatBoost is a high-performance, open-source library that provides a gradient boosting framework. It's particularly great for handling categorical features and works out of the box with minimal data processing.

Why Choose CatBoost?

• Handles categorical features naturally
• Versatile and easy to use
• Efficient with large datasets
• Highly accurate and robust

Quick Start

1. Installation: You can install CatBoost easily via pip: pip install catboost
2. Using CatBoost: Import the library and fit your first model in just a few lines of code.

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Wishing you a successful and innovative journey in machine learning! 🐸💻