# K-Means on Iris Dataset

Read my previous post to understand how K-Means algorithm works. In this post I will try to run the K-Means on Iris dataset to classify…

# Mathematics behind K-Mean Clustering algorithm

K-Means is one of the simplest unsupervised clustering algorithm which is used to cluster our data into K number of clusters. The algorithm iteratively assigns…

# Understanding Support vector Machines using Python

Support Vector machines (SVM) can be used for both classification as well as regression tasks but they are mostly used in classification applications. Some of…

# Maths behind Polynomial regression

Polynomial regression is a process of finding a polynomial function that takes the form f( x ) = c0 + c1 x + c2 x2 ⋯ cn xn where n is the degree of the polynomial and c is a set of coefficients. Through…

# Evaluating the fitness of a modal with a cost function

Previously we derived a simple linear regression modal for our Pizza price dataset. We built a modal that predicted a price of \$13.68 for a 12 inch…

# Math behind Linear Regression with Python code

Simple linear regression is a statistical method you can use to study relationships between two continuous (quantitative) variables: independent variable (x) – also referred to as predictor…

# Finally some success after an year of research in trying to teach a computer how to understand a question like a human.

Like I always believed, there is a way to represent each and every natural language sentence using mathematical notations. Its been an year since I have…