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Browse available coursesGoal: I learnt about classification which can be split into 3 types: K-nearest neighbours(KNN), Decision Trees and Naive Bayes. KNN determines something by looking at K amount of closest objects. The new object will be classified by the most amount of the same objects. Decision Trees are like a lot of if else statements. Naive Bayes uses probabilities.