L25: Data Transformations | Smoothing, Aggregation, Generalization, Normalization(Min-Max, Z-Score)

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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[@arnavanuj]

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...

[@its_prince4real]

Galtiyan sabse hoti hai bhai😌

[@parthagrawal9292]

Sir can you upload these notes on drive ? Hum download karke print nikalwa sakte hai phir 🙏🏻

[@aachalmehar3720]

6:47 correction 900-1=899

[@-goendadhadha6172]

right mujhe vi dout hai isme

[@its_prince4real]

LoL😂😂

[@getconcept]

Min -Max Normalization ka formula General ni hai Sir.

[@debasismaji7213]

playlist is not sorted..

[@mujahidali27]

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

[@divyapatnaik7492]

Sir when to use min max normalization and when to use Z score normalization

[@Adityanarania01]

899 should be there in place of 889

[@alenjose3903]

whats the diff

[@Adityanarania01]

@@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

[@alenjose3903]

@@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

[@Adityanarania01]

@@alenjose3903 I know....but I think we should focus on the clarity of concept rather than just the answer 🙂

[@alenjose3903]

@@Adityanarania01 now im confused

[@-JankiRathore]

The answer for min- max normalization was 899 sir

[@UtkarshWankhedeFanpage1603]

Play at 1.5 speed for better🤟🔥

[@217-sritejrajulu6]

Bohot sahi video hai aek no

[@217-sritejrajulu6]

Awesome video awesome channel

[@varunilla2385]

🫡

[@dipeshsahu5360]

sir pen kon use kar rahe ho video me please bata do

[@thenextgyani6040]

Signature pen

[@sukritgarg3175]

Best playlist till date

[@217-sritejrajulu6]

Bachaaliya bhaai

[@its_prince4real]

Paper ke beech mei beth ke dekh rhe the na bhai😏😏😂😂

[@aniruddhsinh1655]

Tx sir 🙏

[@urmadhu6367]

Stended derivation lol