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Shahram Abyari
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  • San Jose, CA
  • United States
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Shahram Abyari's Page

Latest Activity

Michael Emery commented on Shahram Abyari's blog post Resolving Skewness
"Links are not working. Looks like the articles were taken down. "
Feb 23
Dmitry Vengertsev liked Shahram Abyari's blog post Introduction to Outlier Detection Methods
Nov 3, 2018
Dario Romero commented on Shahram Abyari's blog post Introduction to Outlier Detection Methods
"Several .png images are missing from this blog post. Also, the links to your site are showing no valid reference. Maybe the server is down??? Thanks"
Sep 2, 2018
Jimmy Vivas commented on Shahram Abyari's blog post Introduction to Outlier Detection Methods
"Hello the original links do not work"
Jan 6, 2018
Craig Li liked Shahram Abyari's blog post Introduction to Outlier Detection Methods
Sep 25, 2017

Profile Information

Short Bio
Passionate about data... Trying to learn!
My Web Site Or LinkedIn Profile
http://shahramabyari.com
Professional Status
Technical
Years of Experience:
6+
Your Job Title:
Data Scientist
Interests:
Networking, New venture
What is your Favorite Data Mining or Analytical Website?
http://datasciencecentral.com

Shahram Abyari's Blog

Introduction to Outlier Detection Methods

Posted on January 18, 2016 at 3:30pm 5 Comments

This post is a summary of 3 different posts about outlier detection methods. You can find the original posts with detailed implementation in below links:

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Resolving Skewness

Posted on December 25, 2015 at 7:00am 4 Comments

The fundamental assumption in many predictive models is that the predictors have normal distributions. Normal distribution is un-skewed. An un-skewed distribution is the one which is roughly symmetric. It means the probability of falling in the right side of mean is equal to probability of falling on left side of mean.

This article outlines the steps to detect…

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