Data Manipulation and PCA (Principal Component Analysis )

Data Manipulation and PCA
3.80 (108 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
Data Manipulation and PCA (Principal Component Analysis )
7 116
students
1 hour
content
Jun 2018
last update
FREE
regular price

What you will learn

By the end of this course , a student will be able to do the following:

Stet a working directory , Import a txt or csv file, eliminate duplicate rows in the data, detect rows containing missing values, eliminate rows containing missing values, replace missing values by the mean, replace missing values by a specified information, use the apply function , do some arithmetic on columns , detect strongly correlated variable (some nice plots for visualization ), compute the correlation matrix , the eigenvalue and eigenvector vector, select the number of components the compute the components

Course Gallery

Data Manipulation and PCA (Principal Component Analysis ) – Screenshot 1
Screenshot 1Data Manipulation and PCA (Principal Component Analysis )
Data Manipulation and PCA (Principal Component Analysis ) – Screenshot 2
Screenshot 2Data Manipulation and PCA (Principal Component Analysis )
Data Manipulation and PCA (Principal Component Analysis ) – Screenshot 3
Screenshot 3Data Manipulation and PCA (Principal Component Analysis )
Data Manipulation and PCA (Principal Component Analysis ) – Screenshot 4
Screenshot 4Data Manipulation and PCA (Principal Component Analysis )

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1499222
udemy ID
07/01/2018
course created date
22/10/2019
course indexed date
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