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hello in this video Iamp;#39;m gonna show you a very basic example of a naive Bayes classifier okay so weamp;#39;re gonna be using scikit-learn my face from it weamp;#39;re gonna be using the Gaussian nice patient and weamp;#39;re also gonna be learning how to use very briefly but I hope to use arrays in numpy okay too you will need to numpy scikit-learn which I believe you already have and numpy requires scifi okay if youamp;#39;re using anaconda and you should be ok if you them individually using VIP you my need to new PI and side by separately okay so what we are gonna do we start importing our libraries okay then weamp;#39;re gonna read from our files ok so we have two files our inputs ok so they are just loops okay so these are our inputs itamp;#39;s a CSV file comma separated values where we have one input contains two points separately weamp;#39;ll come on and we have 12 values here these are our training data and then we have the target values for that training are this
