Decision tree code now has comments, explaining how the code works.

Code for a simple decision tree classifier has been added. This
is demonstrated to work with the classic iris dataset.

This is a single layer perceptron code.

This is a single layer perceptron code.

Text PreProcessing --  This file does the manipulation work and perform vector method to calculate the word and indicate the number of times

This is extension file of text preprocessing which is used to counter the words and to eliminate the Special chars , Upper Case letters

Basic implimentation of a CNN using pytorch.
1 converlutional layer:
-> input depth 3
-> output depth 16
-> kernel size 3
-> padding 1

1 maxpool layer

This is a basic implementation of a neural network using pytorch. The network accepts an input of 784 and generate a final output of 10. eg(classifying 28x28 -> 784 images of 10 digits)