Contenido del Curso
Data Anomaly Detection
Data Anomaly Detection
Challenge: Rule-based Approach
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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.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Challenge: Rule-based Approach
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.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Challenge: Rule-based Approach
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.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
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.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opcionesCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones