AI Sticky Notes

  Building Machine Learning Model to Classify Fraud Bank Note Introduction Machine Learning!!!🤪 The highly interesting technology in today's world 😉. I know that you have heard a lot about it. Today we are going to build a machine learning model to authenticate banknote where it's authentic or not 💵.  Whenever you go to the bank to deposit some cash, the cashier places banknotes in a machine that tells whether a banknote is genuine or counterfeit.  The machine uses some classification techniques to do it. There are many machine learning algorithms for classification. Classification is a type of supervised machine learning. There are multiple machine learning algorithms in the classification. We understand it's hard to know the theoretical concept of each algorithm as a beginner. If it's true for you,  there is nothing to panic about.🤪  We will implement the 'K nearest neighbor, Support vector machine, Perceptron learning & Gaussian naive Bayes' algorithm