Machine intelligence:

naiive bayes and decision tree

write the python code for this and you will find dataset here:

drive.google.com/file/d/1R0o1xl2cfiX72AiJKuqv2lwf3turIJiU/view?usp=sharing

*show screenshots of the code and output

Apply Nave Bayes & Decision Tree on the Dataset of Social Network Advertisement to predict if Purchased or not. Prediction depends on the Age and the Estimated Salary. show the results of the prediction after testing process. Compare between the accuracy of both algorithm . Note : . Read the training data from a .CSV file You can use sklearn or any library you prefer Submit your code as .py file and pdf with screenshot of the result and your comment