Done as a project for my academic course on Machine Learning.
This contains two folder:
The first has the code to implement the genetic algorithm which exits execution when the all the offsprings generated will have a the maximum fitness fucntion. The second folder contains Adaline, Backward propogartion, Hebbs, McCulloch Pit and Perceptron algorithm which is implemented on a two bit truth table based on the users input.