Day-18; Handling Outliers in Data using Pandas

  Рет қаралды 4,423

Codanics

Codanics

Күн бұрын

Пікірлер: 23
@kiddienotes733
@kiddienotes733 9 ай бұрын
we learned about outliers, it is important to remove outliers or else it will destroy our data, change the mean, the median value Detection Techniques: 1. Visual Identification: Creating box plot, Histogram 2. Statistical Methods: Z square Method HOW TO DEAL WITH THEM 1, Remove Them 2. Transform Them 3. Impute them 4. Use the robust models
@AwaisTahir-j7b
@AwaisTahir-j7b 9 күн бұрын
"Sir, AI agents par aapka perspective bohot valuable hoga. Agar aap is par ek chhoti si video bana dein, jitna aap samajhte hain, to humein bohot help milegi. Aapka unique tareeqa samajhne mein hamesha maza aata hai!"
@postiveworldquotes9566
@postiveworldquotes9566 Жыл бұрын
types of outlier univariant:single variable bivariate:two variable Mulitbivariate :more then 2 tow viabler remove the outlier using method 1.Iqr 2.z-score 3.impute such as mean,mode,median 4.remove outlier if possible then conditon use 5. transformation
@doptopgaming9569
@doptopgaming9569 Жыл бұрын
outliers is out of contest values which we have to remove using diff methods like visually or iqr method or z=score ,and its really important to remove outliers if you wanna use various range of ml models with efficiency .fornoutliers we defined two boundries lower and upper .and for dealing we can remove ,transform,impute them and 4th one not recomandable to use ml models that doesnt care of outliers.
@doptopgaming9569
@doptopgaming9569 Жыл бұрын
@QuranUrduTube Bhi direct is m shift kr do hm NY KO programmer Nhi bnana data science m coding bht kam use Hoti h bas formulas hn mathematics zdda to direct jump Kru course m
@doptopgaming9569
@doptopgaming9569 Жыл бұрын
@QuranUrduTube most welcm
@faisaljehan-nr7yp
@faisaljehan-nr7yp 11 ай бұрын
Great lecture sir
@mjawad17-v71
@mjawad17-v71 10 ай бұрын
ALLAH Bless you Awesome teaching method and fabula's knowledge about things that you provide.
@raiusama7933
@raiusama7933 10 ай бұрын
Behtreen ❤️
@naaztalath
@naaztalath 11 ай бұрын
so Today we learned outliears , it is important to remove outliears or else it will destroy our data ,changes mean , median value How to find them : 1. Visual identify : Creating box plot , Histogram 2. Z square Method HOW TO DEAL WITH THEM 1, Remove Them 2. Transform Them 3.Impute them 4. Use Ml model that doest care about outliears
@Rizwan_474
@Rizwan_474 9 ай бұрын
Thank you sir 😍
@Codanics
@Codanics 9 ай бұрын
Most welcome
@changecattletech
@changecattletech Жыл бұрын
Great Course
@Khalid0001-f3b
@Khalid0001-f3b Жыл бұрын
program to waar gaya 😁
@mentalgaming2739
@mentalgaming2739 Жыл бұрын
VERY-NICE...INFORMATION
@shafiqtoor841
@shafiqtoor841 Жыл бұрын
1- * Remove the Outliers if possible 2- * Replace with Mean values 3- * Replace with Average values
@seharshafi3625
@seharshafi3625 Жыл бұрын
Live class kitny bbjy huti ha?
@funnyshabby6387
@funnyshabby6387 Жыл бұрын
#reposting : Hi,i am studnt of pkc2023 : anything i am typing in visual code i.e import_etc input_ print_ ImportError_ print_ input_("write name") this underscore is appearing automaticly, i am unable to run any code i have tried so many things to resolve this issue install,unstall but didnt get any result.
@malikdilbazkhan1776
@malikdilbazkhan1776 Жыл бұрын
Sir discord link is not working. Or is it for paid members only?
@MehadBinNaveed
@MehadBinNaveed Жыл бұрын
Sir G why should we not comment on your live video even i subscribed to channel
@changecattletech
@changecattletech Жыл бұрын
Program Tu Warh Geya 😂
@m.waleedashiq4814
@m.waleedashiq4814 Жыл бұрын
Program varr jata ha 😂😂
@dastajan6789
@dastajan6789 Жыл бұрын
Programm war gya
Day-19: Mastering Exploratory Data Science (EDA)
1:23
Codanics
Рет қаралды 1 М.
Day 21: Data Visualization using Python (Part-1)
2:10:50
Codanics
Рет қаралды 5 М.
She made herself an ear of corn from his marmalade candies🌽🌽🌽
00:38
Valja & Maxim Family
Рет қаралды 18 МЛН
Мясо вегана? 🧐 @Whatthefshow
01:01
История одного вокалиста
Рет қаралды 7 МЛН
Day-17: Complete EDA Analysis on Google Play Store Apps Dataset
1:46:19
Day-22: Data Science Portfolio Building
1:30:16
Codanics
Рет қаралды 3,5 М.
Practical Machine Learning Course Introduction   Day 1
55:25
Shahbaz Gul Darot
Рет қаралды 3,8 М.
28 Outlier Analysis, Types, Outlier Detection & Techniques |DM|
7:16
Trouble- Free
Рет қаралды 148 М.
What will we learn in 6 months of this course?
26:27
Codanics
Рет қаралды 6 М.
She made herself an ear of corn from his marmalade candies🌽🌽🌽
00:38
Valja & Maxim Family
Рет қаралды 18 МЛН