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.

Завдання

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.

Завдання

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів

Все було зрозуміло?

Секція 4. Розділ 2

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.

Завдання

Все було зрозуміло?

Секція 4. Розділ 2

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.

Завдання

Все було зрозуміло?

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.

Завдання

Секція 4. Розділ 2