Machine Learning

This repo contains tests by me, while learning neural networks.

Linear-regression

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

KNN Data classification

Classifying data using K-Nearest Neighbour algorithm, data set used: Wisconsin breast cancer dataset. Library used: numpy,pandas

K-Means Cluster

Along with standard Elbow method for determining number of clusters, K.

Backpropagation implementation

Backpropagation is an algorithm based on gradient descent, is applied to a nueral network here. Library used: numpy