Contenu du cours
Data Anomaly Detection
Data Anomaly Detection
2. Statistical Methods in Anomaly Detection
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:
- 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.
Solution
Tout était clair ?
Merci pour vos commentaires !
Section 2. Chapitre 2
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:
- 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.
Solution
Tout était clair ?
Merci pour vos commentaires !
Section 2. Chapitre 2