Contenido del Curso
Ensemble Learning
Ensemble Learning
Challenge: Solving Task Using AdaBoost Regressor
AdaBoost Regressor is an ensemble learning algorithm used for regression tasks.
The principle of work of such a regressor coincides with the principle of work of the AdaBoost Classifier. The only difference is that we use some regression algorithms (linear regression, decision tree regressor, polynomial regression, etc.) as a base model.
The AdaBoostRegressor class in Python provides tools to train the model and make predictions.
Swipe to show code editor
Your task is to create a model to solve the regression task on the diabetes dataset:
- Use a simple Linear Regression model as the base model of an ensemble.
- Create an AdaBoost Regressor model with the 50 base estimators.
- Print MSE to estimate regression quality.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Challenge: Solving Task Using AdaBoost Regressor
AdaBoost Regressor is an ensemble learning algorithm used for regression tasks.
The principle of work of such a regressor coincides with the principle of work of the AdaBoost Classifier. The only difference is that we use some regression algorithms (linear regression, decision tree regressor, polynomial regression, etc.) as a base model.
The AdaBoostRegressor class in Python provides tools to train the model and make predictions.
Swipe to show code editor
Your task is to create a model to solve the regression task on the diabetes dataset:
- Use a simple Linear Regression model as the base model of an ensemble.
- Create an AdaBoost Regressor model with the 50 base estimators.
- Print MSE to estimate regression quality.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Challenge: Solving Task Using AdaBoost Regressor
AdaBoost Regressor is an ensemble learning algorithm used for regression tasks.
The principle of work of such a regressor coincides with the principle of work of the AdaBoost Classifier. The only difference is that we use some regression algorithms (linear regression, decision tree regressor, polynomial regression, etc.) as a base model.
The AdaBoostRegressor class in Python provides tools to train the model and make predictions.
Swipe to show code editor
Your task is to create a model to solve the regression task on the diabetes dataset:
- Use a simple Linear Regression model as the base model of an ensemble.
- Create an AdaBoost Regressor model with the 50 base estimators.
- Print MSE to estimate regression quality.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
AdaBoost Regressor is an ensemble learning algorithm used for regression tasks.
The principle of work of such a regressor coincides with the principle of work of the AdaBoost Classifier. The only difference is that we use some regression algorithms (linear regression, decision tree regressor, polynomial regression, etc.) as a base model.
The AdaBoostRegressor class in Python provides tools to train the model and make predictions.
Swipe to show code editor
Your task is to create a model to solve the regression task on the diabetes dataset:
- Use a simple Linear Regression model as the base model of an ensemble.
- Create an AdaBoost Regressor model with the 50 base estimators.
- Print MSE to estimate regression quality.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opcionesCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones