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Hi Edureka, thank you for the tutorial very helpful. I am trying this with my dataset and when running the last part of the code I am getting the following error: AttributeError: 'generator' object has no attribute 'shape' and I am not able to see the resulting apriori table. Can you please help with this.
Thank you for explaining this so well! I had been assigned another video in my course which didnt make any sense so I was searching for something better - and I found it! Thank you so much :) Keep up the great work
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Is there a reason we are ignoring valid 2-itemsets while creating the association rules since those could get us new rules that support the required confidence?
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It was such a nice and informative video above all Association rules along with Apriori Algorithm. It would be perfect if you could please share me the Python code for more understanding. Pl reply. Thankyou! :-)
Lift(A -> B) refers to the increase in the ratio of sale of B when A is sold. Lift(A -> B) can be calculated by dividing Confidence(A -> B) divided by Support(B).
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