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Data Processing and Feature Engineering with MATLAB(으)로 돌아가기

MathWorks의 Data Processing and Feature Engineering with MATLAB 학습자 리뷰 및 피드백

6개의 평가
3개의 리뷰

강좌 소개

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. 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 Exploratory Data Analysis with MATLAB. Throughout the course, you will merge data from different data sets and handle common scenarios, such as missing data. In the last module of the course, you will explore special techniques for handling textual, audio, and image data, which are common in data science and more advanced modeling. By the end of this course, you will learn how to visualize your data, clean it up and arrange it for analysis, and identify the qualities necessary to answer your questions. You will be able to visualize the distribution of your data and use visual inspection to address artifacts that affect accurate modeling....
필터링 기준:

Data Processing and Feature Engineering with MATLAB의 4개 리뷰 중 1~4

교육 기관: Francisco M

Feb 17, 2020

It provides a lot of insight about different tasks Matlab can do for you

교육 기관: Othmane E

Feb 09, 2020

Amazing course from MathWorks :)

교육 기관: Musalula S

Feb 02, 2020

Excellent course

교육 기관: Daniel A O

Feb 08, 2020

Overall I will rate it 9/10 which is really good. Only downside for me is that it was really fast, not enough interactive assignments and sometimes difficult to follow