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SHStat Hacksdata-career-starters.hashnode.devDec 23, 2025 · 4 min read

Removing outliers: What happens to your p-value?

Note: this post is part of a series of posts about Data Analysis In The Real World What does removing an outlier do your your analysis? I’m sure that everyone in the field of data wold have grappled with this question before. Today, I want to talk to...

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ZJZabreen Javedfeature-scaling.hashnode.devSep 19, 2025 · 2 min read

How to Handle Outliers in Machine Learning: Step-by-Step Guide

What is an outlier? An outlier is a data point in a dataset that is significantly different from other observations, lying far from the general trend or cluster of data. Outliers are data points that deviate significantly from the rest of your datase...

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SGShubham Guptashubham-gupta.hashnode.devSep 6, 2025 · 5 min read

Statistics Learning Journey – Day 3 (Central Tendency, Spread, Outliers, and Five-Number Summary)

1. Measure of Central Tendency The Measure of Central Tendency is a statistical concept that helps us identify the "center" or "typical value" in a dataset. In simple terms, it shows us what is considered the average or the middle point of the data. ...

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WWrathWaretensorx.hashnode.devJun 7, 2025 · 4 min read

Outliers in Data Science

"If you call an outlier an ‘anomaly,’ it sounds cool and mysterious. If you call it a ‘mistake,’ you’re just admitting your data’s drunk." Outliers are the mischievous frenemy in a dataset. Classic Definition Outliers are data points that significan...

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BRBernardo Ribeiro de Mouraenough.hashnode.devMay 18, 2025 · 2 min read

Statistical Approach for Outlier Detection

I developed a simple yet effective algorithm for identifying outliers in a daily-updated database containing thousands of historical item-level records. Without resorting to machine learning or deep learning, the method uses each time series' median ...

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MKMohammad Kaosain Akbarkaosain.hashnode.devOct 9, 2024 · 8 min read

Outliers in Machine Learning: How to Identify, Handle, and Leverage Their Impact

Outliers are data points that deviate significantly from the overall pattern of a dataset. In statistics and data analysis, they are often considered anomalies or rare occurrences that fall far outside the range of typical values. While outliers can ...

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MPMeemansha Priyadarshinimeemansha.hashnode.devJun 23, 2024 · 3 min read

"Unmasking Outliers: Detecting and Removing Anomalies in Your Data"

Outliers are the data points which differ significantly from the complete dataset. They may occur due to error in data entry , variability in the dataset and measurement errors. Availability of outliers in the dataset can cause various problems like ...

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ASAyesha Saherprogrammershack.hashnode.devMay 8, 2024 · 3 min read

Course Title: Debunking the 10,000-Hour Skill Myth

Course Title: Debunking the 10,000-Hour Skill Myth Course Description: This course explores the myth of the "10,000-hour rule" for achieving mastery in a skill. Through critical analysis, real-world examples, and hands-on activities, students will ga...

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BWBinal Weerasenabinalweerasena.hashnode.devMar 7, 2024 · 5 min read

Strategies for Handling Missing Values

In the domain of Data Mining, it is quite important to handle the missing values and outliers in a dataset since it would immensely affect the data analysis and the business decisions if not properly taken care of. Although it seems negligible for be...

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ALAbraham Lunaabrahamluna.comJan 30, 2024 · 8 min read

Outlier Detection With Python

Data is not perfect, there is always a need to clear and transform a dataset before training a Machine Learning model or simply take insights from the data. Nulls and wrong data types are not the only problems while cleaning data. Depending of what a...

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#outliers

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Trending tags this week

Removing outliers: What happens to your p-value?

How to Handle Outliers in Machine Learning: Step-by-Step Guide

Statistics Learning Journey – Day 3 (Central Tendency, Spread, Outliers, and Five-Number Summary)

Outliers in Data Science

Statistical Approach for Outlier Detection

Outliers in Machine Learning: How to Identify, Handle, and Leverage Their Impact

"Unmasking Outliers: Detecting and Removing Anomalies in Your Data"

Course Title: Debunking the 10,000-Hour Skill Myth

Strategies for Handling Missing Values

Outlier Detection With Python