This code trains a single neuron to predict salaries useing data from the csv files to learn

main.py learns the neurons and saves vairables in a external file which is imported by plotting.py plotting.py uses matlab plots to plot all test learnrates and epochs and also logs each case in the console

full error detect.py compares each of the weights you've singled out, is ws array and annotation array where the discription of the weights are

Best case.py is used to get the predictions for your evaluation data, use your best set of weights here