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Apprendre Challenge: Rule-based Approach | Statistical Methods in Anomaly Detection
Data Anomaly Detection

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Challenge: Rule-based Approach

Tâche

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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:

  1. Calculate the Euclidean distance for each data point in the dataset.
  2. If the calculated distance of a data point falls outside a predefined range, classify it as an outlier.
  3. 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.

Solution

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Section 2. Chapitre 2
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book
Challenge: Rule-based Approach

Tâche

Swipe to start coding

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:

  1. Calculate the Euclidean distance for each data point in the dataset.
  2. If the calculated distance of a data point falls outside a predefined range, classify it as an outlier.
  3. 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.

Solution

Switch to desktopPassez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous
Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

close

Awesome!

Completion rate improved to 6.67

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