Every meaningful data science starts with a question, a sense of purpose. What problems are you trying to solve? Who are you trying to save? What do you wish to accomplish with it? During play (learning) time, you can afford to be meaningless, since you are usually aiming at the technicalities. When playtime is over, seek meaning.
Once you have the big question, only then you reach out for data. Our goal here will be to develop a model capable of predicting whether a blood donor will donate again in a given month. For this, Blood donation data, made available by Microsoft Azure, will be used.
Clear some room by deleting any modules that may still be inside the experiment—select them and hit delete or right-click ...
