Mr.Turing VR Education

## Mr.Turing – Why learn the same way if we are all different!!

A tool capable of adapting the content to the individual and not the other way around and capable of updating at the speed that the world demands. Why normal is…

## Steps Of Modelling

Regression analysis is a method to find functional relationships among variables. The relationship is expressed in the form of an equation or a model depicting connection between the response or…

churn modelling

# What is Churn Modelling

Grammar of Graphics

## Step by step implementation of Grammar of Graphics in R

In previous article we discussed about qplot() which is analogy of plot(). Here in this tutorial we will cover ggplot2().

ANOVA Using SPSS

## ANOVA Using SPSS

ONE-WAY CLASSIFICATION ________________________________________________________________________________________________ Definition   :   Analysis of variance (ANOVA) uses F-tests to statistically assess the equality of means when you have three or more groups. When we come across a…

## Introduction to ggplot2.

#### What is ggplot2 ?

• It is a package in R.
• An implementation of the grammar of graphics.
• It is a ‘third’ graphics system for R(along with base and lattice), build based upon the grid system.
• Available from CRAN via install.package().

Comparison_mean_median_mode

## Central Tendency or Average

Central Tendency or Average. Last time I discussed about Data Types. Today I am going to discuss about “Central Tendency” or “Average”. The word "Average" denotes a 'representative' or 'typical…

CoxPh Modelling

## How to do cox(PH) regression modelling using R?

Definition: Cox regression (or proportional hazards regression) is a method for investigating (more…)

ensemble-approaches

## Enabling Machine Learning Algorithm

Hello, Today we will discuss the codes snippets and implementation of different Machine Learning Algorithm. The code snippets is in Python as well as in R. Linear Regression Python Code…

## Logistics Regression in Python Using Pandas

Hello, I thought of starting a series in which I will Implement various Machine Leaning techniques using Python. To start with today we will look at Logistic Regression in Python…