FP Growth Algorithm: Association Rule Mining

[@hitman1646]

errors in the video:
in case of e:: acde:1 was not calculated (though it wont be included)
in case of d:: count of a is 4 and d:5 was not included
in case of c:: instead of bc:3 and abc:2, it should be bc:5 and abc:3

[@areebafatima7436]

Best explanation of getting frequent itemsets.

[@ifargantech]

Is that hello at 11:19 a mic check? The content is wonderful, but poor audio. Thanks boss!

[@shawnmathew6203]

At 14:07, for the item sets ending with 'd', shouldn't the count of item 'a' be 4 instead of 2?

[@activelylazy9993]

Yes

[@simoncalsis7195]

Haha

[@nooram8168]

thank you it a clear explanation

[@zhironggu-j1m]

you missed acde:1 when ending with e and a=4when ending with d

[@snehahr5848]

Nicely explained

[@manjunathhr8884]

Thanks.. Good explanation..

[@kutaykaykc7742]

i dont get candidate itemset with count of each w.r.t. and frequent itemset can someone explain ?

[@patw.6567]

2020 Fall CIS3920 Class Squaddddd

[@shayanshojaei3212]

This was great thank you so much

[@lifeisbeautiful0401]

a:4 at 14:43

[@akverma5824]

Ending with D count of a is 4

[@samikshasalunke8673]

In frequent items for C shouldn't BC:5 and ABC:3

[@boscojay1381]

i agree with you. d:5 is also missing

[@boscojay1381]

his video has gaps but it makes you learn the missing piece hard style

[@priyankamore5550]

Tq

[@gurekodok]

Thnx

[@areebafatima7436]

Only one thing, please work on your audio. It wasn't very clear.

[@마드모아젤-n7x]

i love you

[@shadmansakib2916]

Error in this approach

[@lucifer18674]

no clear explation sir