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.
提供方
課程信息
您將獲得的技能
- Machine Learning
- Matlab
- Predictive Modelling
提供方

MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
授課大綱 - 您將從這門課程中學到什麼
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.
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.
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.
Advanced Topics and Next Steps
審閱
- 5 stars80%
- 4 stars18%
- 3 stars2%
來自PREDICTIVE MODELING AND MACHINE LEARNING WITH MATLAB的熱門評論
Learner friendly explanations and examples! The animations complement the great content!
Very practical, but still high-level view to manage such projects. Testing was sufficient to test a full understanding. Thanks, I learnt a lot.
I am so glad I did something new. and I am waiting for the data science project...
Fantastic course to learn more about MATLABs ML capabilities
關於 Practical Data Science with MATLAB 專項課程
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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