Métodos de clasificación con Machine Learning

Módulos del curso

Introduction

Get an overview of the course.

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Course Overview

Course Example

k-Nearest Neighbor Classification

Train k-nearest neighbor models and change hyperparameters like the number of neighbors and the distance metric.

Lecciones:

Overview of k-Nearest Neighbor Classification

Use k-Nearest Neighbor Classification

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Classification Trees

Train decision tree models for classification and modify the tree branching specifications.

Lecciones:

Overview of Classification Trees

Use Classification Trees

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Naive Bayes Classification

Train naive Bayes classification models with and without kernels.

Lecciones:

Overview of Naive Bayes Classification

Use Naive Bayes Classification

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Discriminant Analysis

Train linear and quadratic discriminant analysis classification models.

Lecciones:

Overview of Discriminant Analysis

Use Discriminant Analysis

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Support Vector Machine Models

Train binary and multiclass SVM classification models and change the kernel hyperparameter.

Lecciones:

Overview of Support Vector Machines

Use Support Vector Machine Classification

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Ensemble Learning

Combine multiple models into an ensemble by using techniques like bagging, boosting, and subspace methods.

Lecciones:

Overview of Ensemble Learning

Use Ensemble Models

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Classification with Neural Networks

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

Lecciones:

Overview of Neural Networks

Use Neural Networks for Classification

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Conclusion

Learn next steps and give feedback on the course.

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Additional Resources

Survey

Módulos del curso

Introduction

k-Nearest Neighbor Classification

Classification Trees

Naive Bayes Classification

Discriminant Analysis

Support Vector Machine Models

Ensemble Learning

Classification with Neural Networks

Conclusion

Idioma

Ejercicios prácticos con comentarios automáticos
Acceda a MATLAB a través de su navegador web
Informe de progreso y certificado del curso disponibles para compartir

Machine Learning Onramp

Métodos de clasificación con Machine Learning

Módulos del curso

Introduction

k-Nearest Neighbor Classification

Classification Trees

Naive Bayes Classification

Discriminant Analysis

Support Vector Machine Models

Ensemble Learning

Classification with Neural Networks

Conclusion

Idioma

Ejercicios prácticos con comentarios automáticosAcceda a MATLAB a través de su navegador webInforme de progreso y certificado del curso disponibles para compartir

Machine Learning Onramp

Ejercicios prácticos con comentarios automáticos
Acceda a MATLAB a través de su navegador web
Informe de progreso y certificado del curso disponibles para compartir