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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Fechas límite flexibles
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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
Nivel intermedio
Aprox. 22 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Habilidades que obtendrás
Machine LearningMatlabPredictive Modelling
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
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
Nivel intermedio
Aprox. 22 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), 8 lecturas, 7 cuestionarios
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), 7 lecturas, 2 cuestionarios
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
5 horas para completar
Advanced Topics and Next Steps
5 horas para completar
5 videos (Total 26 minutos), 7 lecturas, 2 cuestionarios
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 YY12 de abr. de 2021
Very interesting course and it is very practical! It is a great course to learn how to use machine learning as a tool to solve problems!
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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