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ai-models

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This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.

  • Updated Apr 29, 2024
  • Jupyter Notebook

A lightweight Python library for seamless integration with xAI's Grok API. Features minimal dependencies, robust API key management, and supports the latest xAI models for text generation and function calling.

  • Updated Mar 12, 2025
  • Python

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