Naive Bayes Classification

Introduction Naive Bayes Algorithm is a classification technique based on Bayesian Statistics. Naive Bayes is an easy to understand and implement algorithm. This post will walk you through the underlying…

Comments Off on Naive Bayes Classification

Pie Chart and Heat Map

Introduction Pie Charts are useful to visualize the proportion of categories in data. The higher the proportion higher will be the size of the pie. We will try to explore…

Comments Off on Pie Chart and Heat Map

Introduction to data and Line Plot

This is the second blog in the series of matplotlib and in the previous blog we have seen why we need data visualization, the architecture of matplotlib. If you want…

Comments Off on Introduction to data and Line Plot

Broadcasting

Broadcasting in Numpy Broadcasting is one of the strongest features of Numpy, which makes it more usable. So, Broadcasting is just the concept of how Numpy will handle different shapes…

0 Comments

Decorators

Decorators in Python is a very useful concept as it helps in making a function or class more dynamic. In decorators, we have wrapper function(inner function) and we are passing…

0 Comments

Global and Local Variables

Global variables are those which can be used in global space i.e,  accessible to any functions in a particular file or class. But local variables are limited to the scope…

0 Comments

LAD Regression

Overview of LAD Regression Introduction Applications of LAD Regression. Mathematics for LAD Regression. Algorithm for LAD Regression. Implement a LAD Regression model with sci-kit learn. Summary 1. Introduction The Least…

0 Comments

Polynomial Regression

Overview of Polynomial Regression Introduction Applications of Polynomial Regression. Mathematics for Polynomial Regression. Algorithm for Polynomial Regression. Implement a Polynomial Regression model with sci-kit learn. Summary 1. Overview Introduction Applications…

0 Comments
Close Menu