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The Ultimate Guide to Finding Outliers in Your Time Series Data (part 1)

Effective statistical methods and tools for outlier detection in time-series analysis
Towards Data Science 12:53 pm on May 23, 2024

Sara Nbrega discusses outlier detection in time-series data within 'Towards Data Science'. She highlights the significance of identifying anomalies that can distort analyses and forecasts. The guide offers effective methods for spotting these deviations, essential for accurate decision-making.

Author: Sara Nbrega, Data Scientist at EDP
Platform: Towards Data Science
Focused Topic: Outlier detection in time-series data and its impact on statistical models
Key Elements: Effective methods for detecting anomalies, significance of outliers in forecast accuracy and decision making
Audience: Professionals seeking to improve data analysis techniques within their time-series studies.

https://towardsdatascience.com/the-ultimate-guide-to-finding-outliers-in-your-time-series-data-part-1-1bf81e09ade4

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The Ultimate Guide to Finding Outliers in Your Time Series Data (part 1)

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