Challenge: Rule-based Approach
Oppgave
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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.
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Seksjon 2. Kapittel 2
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Completion rate improved to 6.67Challenge: Rule-based Approach
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Oppgave
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:
- 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.
Løsning
Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenforAlt var klart?
Takk for tilbakemeldingene dine!
Awesome!
Completion rate improved to 6.67Seksjon 2. Kapittel 2
single
