MIN MAX NORMALISATION IN DATA MINING WITH EXAMPLE| DATA MINING LECTURES

In today’s video, we will learn Min max normalisation in Data mining. Min-max normalization is one of the most common ways to normalize data. For every feature, the minimum value of that feature gets transformed into a 0, the maximum value gets transformed into a 1, and every other value gets transformed into a decimal between 0 and 1.
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[@padmanamgyal1888]

From where did you take the data transform value? Is it from 200 to 1000 ? if so, then can we pick any number as transform value?

[@jflow5601]

Well explained. Thanks.

[@lukasz1512]

great and straight forward explanation thank you!

[@Saracats_shorts]

Thank you

[@hiepmai2874]

this was very helpful

[@rejnaan2897]

nice lecture

[@EdTechnology85]

Thank you for liking our Data mining lectures

[@ahmadaffan1108]

Is 45 the average of all the tuples ? if not, where did you get the value? Or am i missing something

[@NeededANewName1]

45 is just a random number in the range 13-72 that he used min-max normalisation on.

[@ahmadaffan1108]

@@NeededANewName1 ok now i got it thanks.

[@Rpiofficiallesley]

You are the best

[@maulikvaghasiya8299]

Copy from book

[@khushimehta4012]

Aisa kaise didi?? Padhai hoti nai apke liye video banate hai toh usme bhi aisa? Didi got mo chills

[@khushimehta4012]

Kaha se ate hai yeh log? @maulik vaghasiya
(Voot, burrrnnnnnn)

[@maulikvaghasiya8299]

Hahaha lagta he aapki hi fake ID he 😆

[@maulikvaghasiya8299]

Aapki itni kyu jali?

[@shivanibabhatti3873]

Let me see your work duhh and then see who copied