Advanced ML Algorithms

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The course emphasizes the utilization of regularization to ensure the robustness of models, ensemble methods to enhance accuracy, and hyperparameters and feature engineering to optimize models for real-world challenges.

Key AI Functions:Bagging and Boosting Algorithms,Model Selection,Regularization,hyperparameter tuning

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Description for Advanced ML Algorithms

Utilize regularization methods to improve the robustness and efficacy of the model.

Enhance predictive accuracy by employing ensemble methods, including bagging and boosting.

Refine models for real-world challenges by implementing hyperparameter optimization and feature engineering.

Expand your predictive arsenal by integrating a variety of models to achieve superior predictions.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Fractal Analytics

Duration: 20 hours (approximately)

Schedule: Flexible

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