How to Standardize Data, Data Science The Missing Pieces #6
Channel: Kaiser Fung - Principal Analytics Prep
Date: 2020-01-16

Many data science models fail because the input variables exist on widely divergent scales. A common remedy is to standardize the data. What does it mean to standardize data? How do you convert your data to standard scores? What is the relationship between standardization and the normal distribution? Kaiser Fung, founder of Principal Analytics Prep, explains everything you need to know about standardizing data.


Blog post mentioned in the video:
https://junkcharts.typepad.com/numbersruleyourworld/2019/11/myth-standardizing-variables-makes-them-normal.html



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Other episodes:
DSTMP#1 What You Need to Know about Functions for Data Science
https://youtu.be/XTWCWPVAl5c
DSTMP#2 How to make a Good Chart (without fancy tools)
https://youtu.be/3ju3tD8tCV8
DSTMP#3 Not Statistically Significant
https://youtu.be/Zk6m5H-SOTc

FUNG WITH DATA: revealing secrets of how data, software, and algorithms affect everyone
https://www.youtube.com/playlist?list=PLSWpubLXmle-ikEP7XVcCDKtnPo6GUFz0