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学生对 MathWorks 提供的 Predictive Modeling and Machine Learning with MATLAB 的评价和反馈
119 个评分
课程概述
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.
热门审阅
MP
Mar 20, 2021
Helpful in defining data preprocessing and model creation using different mechanism
JD
Oct 25, 2020
Great Course and very helpful. Good to be able to put hands on real data and exercises.
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26 - Predictive Modeling and Machine Learning with MATLAB 的 28 个评论（共 28 个）
创建者 Jan-Hein Z
•Sep 9, 2020
A good course , you learn the workflow and principles of regression and classifications .
And gain knowledge of the fashionable words like "lasso regression" . "k fold validations" and KNN classification or regression . And always the bias :)
创建者 Aaron C
•Apr 6, 2021
Very good course, but very fast paced.
创建者 Ken-Lee S
•Jan 4, 2024
some of the provided material does not work