How do I implement outlier detection in my dataset?
An example of an AI chatbot conversation about implementing outlier detection in datasets.
How do I implement outlier detection in my dataset?
You can implement outlier detection using various methods like Z-score, IQR, or machine learning algorithms. Which method are you interested in?
I'm not sure. Can you explain the Z-score method?
Sure! The Z-score method identifies outliers by measuring how many standard deviations a data point is from the mean. A common threshold is a Z-score of 3 or -3.
How do I calculate the Z-score for my data?
To calculate the Z-score, subtract the mean from the data point and then divide by the standard deviation. Would you like a code example?
Yes, please provide a code example!
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