Data Manipulation and PCA (Principal Component Analysis )



Data Manipulation and PCA (Principal Component Analysis )

Rating 4.35 out of 5 (93 ratings in Udemy)


What you'll 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 …
Duration 1 Hours 58 Minutes
Free

Self paced

All Levels

English (US)

6252

Rating 4.35 out of 5 (93 ratings in Udemy)

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