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krishnaik06/hyperparameter-optimization
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Jupyter Notebook
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GPL-3.0
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Using Krish Naik's hyperparameter optimization notebooks as a guide, write Python code that uses GridSearchCV to find the best parameters for a Random Forest Classifier.
Explain the difference between GridSearchCV and RandomizedSearchCV for hyperparameter tuning, and show me a Jupyter Notebook example comparing their results.
Based on the hyperparameter optimization techniques in this repo, help me tune an XGBoost model using Bayesian optimization to maximize accuracy on a classification dataset.
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