This repo contains tests by me, while learning neural networks.
The code is about linear regression or the modelling of relationship between variables. First is analytic approach. Then is perceptron or machine learning approach. Y=mx+c
With least square error minimization Library used: matplotlib
Classifying data using K-Nearest Neighbour algorithm, data set used: Wisconsin breast cancer dataset. Library used: numpy,pandas
Along with standard Elbow method for determining number of clusters, K.
Backpropagation is an algorithm based on gradient descent, is applied to a nueral network here. Library used: numpy