EPISODE · May 11, 2024 · 2 MIN
Outlier Detection: What You Need to Know
from Data Science Tech Brief By HackerNoon · host HackerNoon
This story was originally published on HackerNoon at: https://hackernoon.com/outlier-detection-what-you-need-to-know. Decisions are usually based on the sample mean, which is very sensitive to outliers and can dramatically change the value. So, it is crucial to manage outliers Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #outlier-detection, #statistics, #python3, #variance-reducing, #what-is-outlier-detection, #bootstrap, #problem-formulation, #data-analysis, and more. This story was written by: @nataliaogneva. Learn more about this writer by checking @nataliaogneva's about page, and for more stories, please visit hackernoon.com. Analysts often encounter outliers in data during their work. Decisions are usually based on the sample mean, which is very sensitive to outliers. It is crucial to manage outliers to make the correct decision. Let's consider several simple and fast approaches for working with unusual values.
What this episode covers
This story was originally published on HackerNoon at: https://hackernoon.com/outlier-detection-what-you-need-to-know. Decisions are usually based on the sample mean, which is very sensitive to outliers and can dramatically change the value. So, it is crucial to manage outliers Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #outlier-detection, #statistics, #python3, #variance-reducing, #what-is-outlier-detection, #bootstrap, #problem-formulation, #data-analysis, and more. This story was written by: @nataliaogneva. Learn more about this writer by checking @nataliaogneva's about page, and for more stories, please visit hackernoon.com. Analysts often encounter outliers in data during their work. Decisions are usually based on the sample mean, which is very sensitive to outliers. It is crucial to manage outliers to make the correct decision. Let's consider several simple and fast approaches for working with unusual values.
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Outlier Detection: What You Need to Know
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