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Predictive Modeling and Machine Learning with MATLAB · LearnSpace
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Predictive Modeling and Machine Learning with MATLAB

Курс от MathWorks
Начальный≈ 19 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed courses 1 through 2 of this specialization. By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. You will prepare your data, train a predictive model, evaluate and improve your model, and understand how to get the most out of your models.

Навыки, которые вы освоите

Predictive ModelingModel EvaluationSupervised LearningRegression AnalysisMatlabModel OptimizationModel TrainingData PreprocessingClassification AlgorithmsFeature EngineeringApplied Machine LearningStatistical Machine LearningMachine LearningMachine Learning MethodsData Validation

Программа курса

4 модулей · 78 учебных материалов

01Creating Regression Models27 материалов

Introduction to Supervised Machine Learning

Practical Data Science with MATLABВидеоInstructor IntroductionВидеоAccess MATLABЧтениеData and Code FilesЧтение

Учитесь у экспертов

Michael Reardon

Senior Online Content Developer

Maria Gavilan-Alfonso

Senior Online Content Developer

Erin Byrne

Principal Course Developer

Matt Rich

Senior Online Course Developer

Brandon Armstrong

Manager Online Courses

Adam Filion

Senior Product Manager

Nikola Trica

Principal Online Course Developer

Isaac Bruss

Преподаватель курса

Brian Buechel

Senior Online Course Developer

Heather Gorr

Senior Product Manager

Sam Jones

Senior Online Course Developer

Predictive Modeling and Machine Learning with MATLAB
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Обучение на Coursera

≈ 19 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Introduction to Supervised Machine LearningВидео
Supervised Machine Learning ReferenceЧтение

Data Processing and Feature Engineering

Introduction to Module 1ЧтениеIntroduction to the Taxi DataВидеоVariables in the Taxi DataЧтениеCreating and Cleaning FeaturesВидеоMore Features, More QuestionsОбсуждениеFeature Engineering ReviewЗадание

Exploring Regression Models

Introduction to RegressionВидеоNote regarding updates to MATLABЧтениеUsing the Regression Learner AppВидеоSummary of Regression ModelsЧтениеTrain a Regression ModelЗадание

Training and Evaluating Regression Models

Customizing Model ParametersВидеоPractice with Linear Regression ModelsВнешний инструментPractice with Regression treesВнешний инструментEvaluating Regression ModelsВидеоRegression MetricsЧтениеEvaluate Your Model in MATLABВидеоPractice Calculating R²Внешний инструментPractice Comparing ModelsВнешний инструментSummary of RegressionВидеоApply the Regression WorkflowЗадание
02Creating Classification Models16 материалов

Exploring Classification Models

Introduction to Module 2ЧтениеIntroduction to ClassificationВидеоNote regarding updates to MATLABЧтениеUsing the Classification Learner AppВидеоSummary of Classification ModelsЧтениеTrain a Classification ModelЗадание

Evaluating Classification Models

Evaluating Classification ModelsВидеоBinary Classification Metrics ReferenceЧтениеCan you improve the model?ОбсуждениеEvaluating Classification Models in MATLABВидеоEvaluate and Customize Classification ModelsЧтение

Training and Evaluating Multiclass Models

Training a Multiclass ModelВидеоMulticlass Classification Metrics ReferenceЧтениеCustomizing Multiclass ModelsЧтениеSummary of ClassificationВидеоApply The Classification WorkflowЗадание
03Applying the Supervised Machine Learning Workflow20 материалов

Using Validation Data to Improve Model Generalization

Introduction to Module 3ЧтениеAddressing Underfitting and OverfittingВидеоUsing Validation Data During TrainingВидеоExamining Bias Variance Trade-offЧтениеPractice Partitioning DataЧтение

Reducing Model Complexity

Embedded Methods for Feature SelectionВидеоUsing Regularization to Prevent OverfittingВидеоUsing Wrapper Methods to Select FeaturesЧтениеPractice Reducing Model ComplexityЗаданиеShare Your Model ResultsОбсуждение

Creating Ensemble Models

Introduction to Ensemble ModelsВидеоTraining Ensemble ModelsВидеоApplying Ensemble ModelsЗадание

Tuning Model Parameters

Introduction to HyperparametersВидеоOptimizing HyperparametersВидеоEvaluating and Using Your ModelВидеоSummary of Module 3Видео

Project: Apply the Supervised Machine Learning Workflow

The Supervised Machine Learning WorkflowЗаданиеSetup for Mini-Project: Predicting Taxi DemandЧтениеMini-Project: Predicting Taxi DemandЗадание
04Advanced Topics and Next Steps15 материалов

Reducing Prediction Errors

Introduction to Module 4ЧтениеSampling DataЧтениеHandling Class ImbalanceВидеоPractice Handling Class ImbalanceЧтениеOversampling the Minority ClassЧтениеReducing Specific Errors Using Cost MatricesВидеоPractice Reducing Prediction ErrorsЗадание

Using Your Model and Next Steps

Integrating Your ModelВидеоExamples of Integrating Machine Learning ModelsЧтениеHow will you use your models?ОбсуждениеAutomated Machine LearningЧтениеA Discussion with HeatherВидеоQuiz: Advanced Topics and Next StepsЗадание
Summary of Predictive Modeling and Machine LearningВидео
Course SurveyPLUGIN