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
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Curso 3 de 4 en
Nivel intermedio
Aprox. 22 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Habilidades que obtendrás
- Machine Learning
- Matlab
- Predictive 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
- 5 stars79,59 %
- 4 stars18,36 %
- 3 stars2,04 %
Principales reseñas sobre PREDICTIVE MODELING AND MACHINE LEARNING WITH MATLAB
por AC13 de dic. de 2020
Great course, I like how they keep everything organized and pretty straightforward.
por GA9 de mar. de 2021
It is a very good course for those who wants to learn Data Science with MATLAB. The instructors are very friendly and helpful. I, personally, want to thank all the instructors.
por DA21 de sep. de 2020
I am so glad I did something new. and I am waiting for the data science project...
por SV5 de ene. de 2022
Thanks to Mathworks team for such a well structured course with quality content and lectures. Looking forward to more such quality content such as deep learning and reinforced learning
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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