Create our own target function f and data set D and see how the perceptron learning algorithm works. Take d = 2 so you can visualize the problem, and choose a random line in the plane as your target function, where one side of the line maps to +1 and the other maps to -1. Choose the inputs x, of the data set as random points in the plane, and evaluate the target function on each xn to get the corresponding output yn Now, generate a data set of size 20. Try the perceptron learning algorithm on your data set and see how long it takes to converge and how well the final hypothesis g matches your target f.

Write a program that has a conversation with the user. the program must ask for both strings and numbers as input. the program must ask for at least 4 different inputs from the user. the program must reuse at least 3 inputs in what it displays on the screen. the program must perform some form of arithmetic operation on the numbers the user inputs. turn in your .py file as well as a screenshot of your program's output. include comments in your code to explain how it works an example program run might look like (have fun with this and be creative): ‘what is your name? ’ “josh” ‘, josh. what is your favorite color? ’ “green” ‘mine too. do you also like ice cream? ’ “no” ‘josh, how old are you? ’ “40” ‘ and how many siblings do you have? ’’ “3” ‘that means you are one of 4 kid(s). is green the favorite color of anyone else in your house? ’