Kursinnehåll
Preprocessing Data
Preprocessing Data
Data Standardization
Another approach to scale the data is to standardize it: transform in such a way that mean is equal to 0 and std is equal to 1. Look at the formula:
Here μ is a mean value of x and σ is a standard deviation. This way, we move each value such that total mean is 0, and normalize it with std, so new std is equal to 1.
Swipe to start coding
Standardize the data in SibSp column by calculating mean and std values and use the formula above. Output some sample to see the modified data and check if the new values of mean and std are equal to 0 and 1 respectively.
Lösning
Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedanTack för dina kommentarer!
Data Standardization
Another approach to scale the data is to standardize it: transform in such a way that mean is equal to 0 and std is equal to 1. Look at the formula:
Here μ is a mean value of x and σ is a standard deviation. This way, we move each value such that total mean is 0, and normalize it with std, so new std is equal to 1.
Swipe to start coding
Standardize the data in SibSp column by calculating mean and std values and use the formula above. Output some sample to see the modified data and check if the new values of mean and std are equal to 0 and 1 respectively.
Lösning
Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedanTack för dina kommentarer!
Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan