Execute Association Rules algorithm using the apriori and association_rules functions with two datasets that you can find from Kaggle website or other source. IF you can't find one, then you may synthesize your own (eg. I made those data that we used in the lecture myself) For each dataset, make sure to add a concise explanations throughout the program in addressing what the values mean (SUPPORT, CONFIDENCE, LIFT and CONVICTION). Attempt to explain as many items and combinations of items as you can, this will really help you understand this algorithm. At the end of each program, add a long text field with a brief memo for your boss who doesn't know anything about ML (use easy English to nicely explain what the values mean). Keep both programs in one single ipynb