HDTutorial
EN

Playback starts YouTube’s embedded player (privacy-enhanced mode).

How to Standardize Data, Data Science The Missing Pieces #6

698 views February 13, 2020 7:47

Watch on YouTube
ChannelKaiser Fung - Principal Analytics Prep

Description from the creator

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:
junkcharts.typepad.com/numbersruleyourworld/201…



Support us by subscribing to our channel:
youtube.com/c/KaiserFungPrincipalAnalyticsPrep
Suggest future topics to info@principalanalyticsprep dot com.

Next summer, join Principal Analytics Prep for hands-on classes on all key data science skills. For more information, see principalanalyticsprep.com/

Principal Analytics Prep has been awarded Best Data Science Bootcamps. coursereport.com/best-data-science-bootcamps

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

FUNG WITH DATA: revealing secrets of how data, software, and algorithms affect everyone
youtube.com/playlist?list=PLSWpubLXmle-ikEP7XVc…

About this tutorial

Kaiser Fung - Principal Analytics Prep published this 7:47 video tutorial on February 13, 2020. It has been watched 698 times on YouTube.

Duration
7:47
Published
February 13, 2020
Views
698
Likes
15

Tags

Share

This tutorial in other languages