Big Data Analytics Lectures : PCY ( park chen yu) algorithm Solved Example in Hindi

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In Step 2, we discard all the buckets/Itemsets/Keys which has value/count/frequency/support < Min_support/Threshold_value.

anup_narvekar
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10:22 (2, 4) has length 4 and not 3.
So, T2: {(2, 4), (3, 4)} = {4, 4 }
Please verify.

vrushabhbhaskar
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This guy sounds very promising btw amazing explain 👍

ashifkhan
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bhai... meri engineering to tumhare bharose hi ho rhi hai... great job you are doing.

sahilsharma-hjgq
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Please upload video of PCY Algo theory

rashmishinde
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6:56 Sir I think in step 2 where you discarded values having count lower than 1... It shouldn't be '1', instead it should be '3' since threshold is 3.... Anyways calculation will be same in this case .... I might be wrong can you confirm?? Thank you for awesome video

yaseefsheikh
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top top explanation brother. kya padha te ho aap. mast samaj gaya pura. thank you so much bhai

MrPratitb
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thank you for making this video ❤❤❤❤💕💕💕💕💕💕 very helpful

ranjeetkumar
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Bhai please please CSM ke upar video banana chalu karo..
Usme bahut sums ate he and me akhir me padne vala Banda hu
Tumhare vajahse pass hota hu

editingattack
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Video is made by contribution of two people, one for holding paper and one for writing.

AbhishekSharma-exrx
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Bhai plzzz do more videos on big data analytics.... thanks bhai

abhaymaurya
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do we have to consider pairs only for those shortlisted from the first step i.e support more than 1, items?

aizazhussain
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Thoda aaram se bro! And pich pich thoda kam karo! Dont get irritated 😂

ashishchawla
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Agar bucket count 2 ya 3 pairs k liye same ata toh??

rcuckvw
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Minimum support and threshold value kya hota hai?

rcuckvw
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kya hoga ager 2 ya usse jada ka hash value same ho jaye?

bhoot-euhe
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Minimum value agar percentage mein aya toh?

rcuckvw
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Second step m vhi elements q remove kiye, jinki value less than 1 h?

juhyvinod
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What was the point of hashing? Incomplete explanation

yashtarkar
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Is this similar to market basket analysis algo 😂

Uniquedc
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