You get (A) 4 training datasets and (B) one test dataset, as well as (C) datasets for 50 ideal functions. All datarespec

[answerhappygod]

You get (A) 4 training datasets and (B) one test dataset, aswell as (C) datasets for 50 ideal functions. All datarespectivelyconsists of x-y-pairs of values.Structure of all CSV-files provided:X Yx1 y1... ...xn ynYour task is to write a Python-program that uses training data tochoose the four ideal functions which are thebest fit out of the fifty provided (C) *.i) Afterwards, the program must use the test data provided (B) todetermine for each and every x-ypair of values whether or not theycan be assigned to the four chosen ideal functions**; if so,theprogram also needs to execute the mapping and save it together withthe deviation at handii) All data must be visualized logicallyiii) Where possible, create/ compile suitable unit-test* The criterion for choosing the ideal functions for the trainingfunction is how they minimize the sum of all ydeviations squared(Least-Square)** The criterion for mapping the individual test case to the fourideal functions is that the existing maximumdeviation of the calculated regression does not exceed the largestdeviation between training dataset (A) andthe ideal function (C) chosen for it by more than factorsqrt(2)