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Hyperparameter Optimization for Xgboost

127.6K views on YouTube

Krish Naik 175 tutorials here
Programming

In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned.

Github url: https://github.com/krishnaik06/Hyperparameter-Optimization

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