Association Rule Mining.
I learnt about Apriori’s theorem, that if a item set is frequent then its subsets must also be frequent. It works by finding the items which appear more and combining into larger and larger item sets as long as the appear frequent enough. This is also an example of unsupervised learning. I think a real life example to use Apriori is when making packages for example in a shop, the items that are often bought together can be made into packages for a cheaper price to promote selling of all the products instead of just one. We also had a quiz with materials from the first week.
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