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.
Este curso forma parte de Programa Especializado - Practical Data Science with MATLAB
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Acerca de este Curso
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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 17 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Habilidades que obtendrás
Machine LearningMatlabPredictive Modelling
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 17 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Programa - Qué aprenderás en este curso
5 horas para completar
Creating Regression Models
In this module you'll apply the skills gained from the first two courses in the specialization on a new dataset. You'll be introduced to the Supervised Machine Learning Workflow and learn key terms. You'll end the module by creating and evaluating regression machine learning models.
5 horas para completar
11 videos (Total 73 minutos), 7 lecturas, 7 cuestionarios
11 videos
Instructor Introduction2m
Introduction to Supervised Machine Learning4m
Introduction to the Taxi Data7m
Creating and Cleaning Features8m
Introduction to Regression8m
Using the Regression Learner App10m
Customizing Model Parameters9m
Evaluating Regression Models6m
Evaluate Your Model in MATLAB9m
Summary of Regression1m
7 lecturas
Download and Install MATLAB15m
Data and Code Files15m
Supervised Machine Learning Reference10m
Introduction to Module 15m
Variables in the Taxi Data10m
Summary of Regression Models15m
Regression Metrics10m
3 ejercicios de práctica
Feature Engineering Review12m
Train a Regression Model30m
Apply the Regression Workflow45m
4 horas para completar
Creating Classification Models
In this module you'll learn the basics of classification models. You'll train several types of classification models and evaluation the results.
4 horas para completar
6 videos (Total 45 minutos), 6 lecturas, 2 cuestionarios
6 videos
Using the Classification Learner App7m
Evaluating Classification Models11m
Evaluating Classification Models in MATLAB5m
Training a Multiclass Model7m
Summary of Classification1m
6 lecturas
Introduction to Module 25m
Summary of Classification Models15m
Binary Classification Metrics Reference20m
Evaluate and Customize Classification Models30m
Multiclass Classification Metrics Reference20m
Customizing Multiclass Models30m
2 ejercicios de práctica
Train a Classification Model30m
Apply The Classification Workflow50m
8 horas para completar
Applying the Supervised Machine Learning Workflow
In this module you'll apply the complete supervised machine learning workflow. You'll use validation data inform model creation. You'll apply different feature selection techniques to reduce model complexity. You'll create ensemble models and optimize hyperparameters. At the end of the module, you'll apply these concepts to a final project.
8 horas para completar
9 videos (Total 49 minutos), 5 lecturas, 3 cuestionarios
9 videos
Using Validation Data During Training3m
Embedded Methods for Feature Selection7m
Using Regularization to Prevent Overfitting6m
Introduction to Ensemble Models3m
Training Ensemble Models3m
Introduction to Hyperparameters5m
Optimizing Hyperparameters8m
Summary of Module 32m
5 lecturas
Introduction to Module 310m
Examining Bias Variance Trade-off15m
Practice Partitioning Data30m
Using Wrapper Methods to Select Features40m
Introduction to the Course Project10m
2 ejercicios de práctica
Practice Reducing Model Complexity30m
Applying Ensemble Models30m
Reseñas
Principales reseñas sobre PREDICTIVE MODELING AND MACHINE LEARNING WITH MATLAB
por SS13 de sep. de 2020
Extremely helpful and interesting course. The basic concepts and further learnings are well addressed by the instructors.\n\nHighly recommended course for Machine Learning.
por AM6 de nov. de 2020
Outstanding course with real practical study case and easy to understand approach to build ML models and deploy it for production for end-user. Good job MathWorks.
por AH10 de sep. de 2020
Very practical, but still high-level view to manage such projects. Testing was sufficient to test a full understanding. Thanks, I learnt a lot.
por JD25 de oct. de 2020
Great Course and very helpful. Good to be able to put hands on real data and exercises.
Acerca de Programa especializado: Practical Data Science with MATLAB
Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?
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