Machine-Learning

This Repo consists of 3 different machine learning models which can be used to predict data

Perceptron_Learning.ipynb:

A Feed Forward Neural Network used to classify various functions such as OR, XOR, and a circular function with the help of the sigmoid activation function

Forward Propogation-Real.ipynb:

A Forward and Backpropogating Neural Network, with multiple layer support that is used to classify handwritten digits found in the MNIST dataset

DecisionTreeLearning.ipynb:

A Decision Tree utilizing the principle of entropy to create the optimal decision tree from the given input in any scenario.