L25: Data Transformations | Smoothing, Aggregation, Generalization, Normalization(Min-Max, Z-Score)
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- เผยแพร่เมื่อ 18 ก.ย. 2019
- Full Course of Data warehouse and Data Mining(DWDM): • Datawarehouse and Data...
In this lecture you can learn about Data Transformations - Smoothing, Aggregation, Generalization, Normalization(Min-Max, Z-Score) in Data warehouse and Data Mining(DWDM) Course. Following topics of Data warehouse and Data Mining(DWDM) Course are discussed in this lecture: Data Transformations - Smoothing, Aggregation, Generalization, Min-Max Normalization and Z-Score Normalization. This topic is very important for College University Semester Exams and Other Competitive exams like GATE, NTA NET, NIELIT, DSSSB tgt/ pgt computer science, KVS CSE, PSUs etc.
Data Transformations - Smoothing, Aggregation, Generalization, Normalization(Min-Max, Z-Score)
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That's nice of you sir im from Pakistan and i like the way you presenting and Explaining all in one page with so easily .. i appreciate that
Awesome video awesome channel
Bohot sahi video hai aek no
Best playlist till date
Sir apne normalisation ke definition me normalised word use kiya hai... Jahan tak maine seekha hai kisi terminology ki definition me same term use nahi karte... If you feel I'm incorrect pls guide... Thank you.. Good video...
Galtiyan sabse hoti hai bhai😌
Sir when to use min max normalization and when to use Z score normalization
Tx sir 🙏
playlist is not sorted..
Bachaaliya bhaai
Paper ke beech mei beth ke dekh rhe the na bhai😏😏😂😂
Play at 1.5 speed for better🤟🔥
Min -Max Normalization ka formula General ni hai Sir.
6:47 correction 900-1=899
right mujhe vi dout hai isme
LoL😂😂
Sir can you upload these notes on drive ?
Hum download karke print nikalwa sakte hai phir 🙏🏻
The answer for min- max normalization was 899 sir
sir pen kon use kar rahe ho video me please bata do
Signature pen
899 should be there in place of 889
whats the diff
@@alenjose3903 let me break it down for you 899-889= 10 .....so that means there is difference of 10 digits....I hope your subtraction concepts got cleared
@@Adityanarania01 I mean the final results are the same. so what if he made a mistake. anyone could easy spot the error and even if they didn't, the concept is still clear, choose the option based on the result
@@alenjose3903 I know....but I think we should focus on the clarity of concept rather than just the answer 🙂
@@Adityanarania01 now im confused
🫡
Stended derivation lol