Challenge: Rule-based Approach
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.
Solução
Obrigado pelo seu feedback!
single
Pergunte à IA
Pergunte à IA
Pergunte o que quiser ou experimente uma das perguntas sugeridas para iniciar nosso bate-papo
Resumir este capítulo
Explicar o código em file
Explicar por que file não resolve a tarefa
Awesome!
Completion rate improved to 6.67Challenge: Rule-based Approach
Deslize para mostrar o menu
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.
Solução
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoObrigado pelo seu feedback!
Awesome!
Completion rate improved to 6.67single
