Challenge: Rule-based Approach

Завдання

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Your task is to create a function that identifies outliers based on the Euclidean distance between each data point and the mean value of the dataset:

Calculate the Euclidean distance for each data point in the dataset.
If the calculated distance of a data point falls outside a predefined range, classify it as an outlier.
Create a list to store the identified outliers and print the list.

_{Once you've completed this task, click the button below the code to check your solution.}

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

Все було зрозуміло?

Дякуємо за ваш відгук!

Секція 2. Розділ 2

Завдання

Swipe to show code editor

Your task is to create a function that identifies outliers based on the Euclidean distance between each data point and the mean value of the dataset:

Calculate the Euclidean distance for each data point in the dataset.
If the calculated distance of a data point falls outside a predefined range, classify it as an outlier.
Create a list to store the identified outliers and print the list.

_{Once you've completed this task, click the button below the code to check your solution.}

Все було зрозуміло?

Дякуємо за ваш відгук!

Секція 2. Розділ 2

Завдання

Swipe to show code editor

Your task is to create a function that identifies outliers based on the Euclidean distance between each data point and the mean value of the dataset:

Calculate the Euclidean distance for each data point in the dataset.
If the calculated distance of a data point falls outside a predefined range, classify it as an outlier.
Create a list to store the identified outliers and print the list.

_{Once you've completed this task, click the button below the code to check your solution.}

Все було зрозуміло?

Дякуємо за ваш відгук!

Завдання

Swipe to show code editor

Your task is to create a function that identifies outliers based on the Euclidean distance between each data point and the mean value of the dataset:

Calculate the Euclidean distance for each data point in the dataset.
If the calculated distance of a data point falls outside a predefined range, classify it as an outlier.
Create a list to store the identified outliers and print the list.

_{Once you've completed this task, click the button below the code to check your solution.}

Секція 2. Розділ 2