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hello people from the future welcome to normalized nerd today i will explain the concept behind decision trees to be more precise classification using decision trees as you know me obviously i will discuss the intuition and the underlying math behind training a decision tree and this video will contain a lot of visualizations so i hope you are super excited if you want to see more videos like this and stay connected with me please subscribe to this channel and join our discord server the link will be in the description so letamp;#39;s get started first of all we need some data because no algorithm can learn without any previous experience this data set contains two features x0 and x1 i have plotted x0 along the horizontal axis and x1 along the vertical axis there exists two classes green and red if you notice carefully the classes are not linearly separable that is you canamp;#39;t just draw a line to separate them this is intentional because i want to show you the true power of deci
