 ## Logistic regression modelling using R

What is Logistic Regression ? Logistic Regression is a classification algorithm. It is used to predict a binary outcome (1 / 0, Yes / No, True / False) given a…

## Making a Gender Classifier With Python (PyMachineLearning Series with Harvinder)

What this program does? This program will be given a list of three inputs (Height,Weight and Shoe size) and will predict whether the given attributes belong to a male or…

## Two way ANOVA calculation BY HAND (ANalysis Of VAriance)

The two-way ANOVA compares the mean differences between groups that have been split on two independent variables (called factors). The primary purpose of a two-way ANOVA is to understand if…

## Types of Cluster Analysis and Techniques using R

Index Table

• Definition
• Types
• Techniques to form cluster method

Definition:

1. It groups the similar data in same group.
2. The goal of this procedure is that the objects in a group are similar to one another and are different from the objects in other groups.
3. Greater the similarity within a group and greater difference between the groups, more distinct the clustering.
4. Cluster analysis provides a potential relationship and construct systematic structure in large number of varables and observations.

Main objectives of clustering are: (more…)

## Linear Regression Assumptions

Linear regression makes several key assumptions: Linear relationship Multivariate normality No or little multicollinearity No auto-correlation Homoscedasticity Linear regression  needs at least 2 variables of metric (ratio or interval) scale. …

## Hypothesis Testing

The objective of testing statistical significance of  (also ) by stating that we want to test the validity of the null hypothesis (HN), that the true population parameter β=0 against…

## Chi-Squared Test – The Purpose, The Math, When and How to Implement?

Before we build stats/machine learning models, it is a good practice to understand which predictors are significant and have an impact on the response variable. In this post we deal…

## Introduction about Logistic Regression Model

Hello guys, we have learnt about Linear Regression model in my previous article. Today, in this article we will get to learn the basics of Logistic Regression and some tricks to find the relation between the variables.

Do you know what type of variable is used in logistic regression… Don’t worry, if you don’t (more…)

## R FUNCTIONS FOR REGRESSION ANALYSIS

R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of package is in parentheses.   Linear model Anova: Anova…

## Feature selection in R (i.e. pick important variables) using Boruta Package

Introduction Variable selection is an important aspect of model building which every analyst must learn. After all, it helps in building predictive models free from correlated variables, biases and unwanted…