Course Content
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.
Task
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.
Task
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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.
Task
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.
Task
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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.
Task
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.
Task
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
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.
Task
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.
Switch to desktop for real-world practiceContinue from where you are using one of the options belowSwitch to desktop for real-world practiceContinue from where you are using one of the options below