Méthodes pour la régression avec le Machine Learning

Modules de formation

Introduction

Get an overview of the course.

Cours :

Course Overview

Course Example

Linear Regression Models

Train linear regression models using linear, quadratic, and interaction terms.

Cours :

Overview of Linear Regression Models

Use Linear Regression Models

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Stepwise Linear Regression

Train a stepwise linear regression model by specifying the initial terms and setting an upper bound on the terms.

Cours :

Overview of Stepwise Linear Regression

Use Stepwise Linear Regression

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Regularized Linear Regression

Train regularized linear regression models by applying a penalty to the coefficient values.

Cours :

Overview of Regularized Linear Regression

Use Regularized Linear Models

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Support Vector Machine

Train SVM models for regression and change the kernel function hyperparameter.

Cours :

Overview of Support Vector Machine

Use SVM Models

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Decision Trees and Tree Ensembles

Train decision tree models for regression and change the minimum leaf size hyperparameter. Train ensembles of trees using techniques like bagging and boosting.

Cours :

Overview of Decision Trees and Tree Ensembles

Use Decision Trees and Tree Ensembles

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Neural Networks

Train neural networks for regression and change hyperparameters such as the number fully connected layers and the layer size.

Cours :

Overview of Neural Networks

Use Neural Networks

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Gaussian Process Regression

Train GPR models by setting the basis and the kernel functions.

Cours :

Overview of Gaussian Process Regression

Use Gaussian Process Regression

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Conclusion

Learn next steps and give feedback on the course.

Cours :

Additional Resources

Survey

Modules de formation

Introduction

Linear Regression Models

Stepwise Linear Regression

Regularized Linear Regression

Support Vector Machine

Decision Trees and Tree Ensembles

Neural Networks

Gaussian Process Regression

Conclusion

Langue

Des exercices pratiques avec des corrections automatisées
Accès à MATLAB via votre navigateur Internet
Certificat de formation et rapport de progression partageable

Machine Learning Onramp

Méthodes pour la régression avec le Machine Learning

Modules de formation

Introduction

Linear Regression Models

Stepwise Linear Regression

Regularized Linear Regression

Support Vector Machine

Decision Trees and Tree Ensembles

Neural Networks

Gaussian Process Regression

Conclusion

Langue

Des exercices pratiques avec des corrections automatiséesAccès à MATLAB via votre navigateur InternetCertificat de formation et rapport de progression partageable

Machine Learning Onramp

Des exercices pratiques avec des corrections automatisées
Accès à MATLAB via votre navigateur Internet
Certificat de formation et rapport de progression partageable