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Python 3
Understanding Model Parameters

Understanding Model Parameters

Understanding Model Parameters

Understanding Model Parameters

Machine learning models often contain configurable settings called parameters.

Examples include:

Number of trees
Learning rate
Maximum tree depth

In this project, we use the default settings of XGBoost to keep the implementation simple and beginner-friendly.

As you gain more experience, these parameters can be adjusted to further improve model performance.

This process is known as hyperparameter tuning.

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Understanding Model Parameters

Contents

Understanding Model Parameters

House Price Prediction Using Machine Learning (XGBoost)

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