Data Manipulation and PCA (Principal Component Analysis )
Data Manipulation and PCA
3.80 (108 reviews)
7,097
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
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1499222
udemy ID
1/7/2018
course created date
10/22/2019
course indexed date
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