Chevron Left
Retour à Data Processing and Feature Engineering with MATLAB

Avis et commentaires pour d'étudiants pour Data Processing and Feature Engineering with MATLAB par MathWorks

314 évaluations

À propos du cours

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....

Meilleurs avis


6 janv. 2022

It was a valuable experience to attend this course. Through its five modules, I acquired a wide range of common and domain specific skills for cleaning and smoothing data and engineering features.


14 mars 2020

Highly recommended for people with patience, and deep interest in Data Processing and Feature Engineering. It is not easy. However, MATLAB instructional tools make this process so much simplified!

Filtrer par :

26 - 50 sur 106 Avis pour Data Processing and Feature Engineering with MATLAB

par Andrew S T

10 juil. 2020

par Sridhar ( A

11 août 2021

par Matt A

16 avr. 2020

par Kristof S

19 févr. 2020

par Geert V

24 avr. 2020

par Juan C G O

20 août 2020

par Timur C

13 juil. 2020

par Sunil G

7 juin 2020

par Sebastian V Q

18 oct. 2020

par Edna L

20 juin 2020

par Kuldeep S

4 juil. 2020

par Carlos E C O

31 mai 2021

par Bikash S

26 juin 2020

par Alan E T

4 nov. 2020

par Yuxiang H

5 juin 2020

par osama r

6 mars 2020

par Anik D

1 août 2020

par Adam C

25 janv. 2021

par Sadiqur R

12 juil. 2020

par Hanifah N A

26 sept. 2020

par Deep P

19 avr. 2021

par Sakin K

6 août 2020

par Francisco M

17 févr. 2020

par Ignacio R M

5 mars 2020

par Deleted A

10 août 2020