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Browsing Category

# Statistics

## T-Test Distribution and Its Application

In order to understand T-Test Distribution, Consider the situation, you want to compare the performance of two workers of your company by checking the average sales done by each of them, or to compare the performance of a worker by…

## Decision Tree In Machine Learning

You will be amazed if I tell you that a decision tree has many analogies in real life and has an influence on a wide area of machine learning. There are a bazillion gazillion applications which include detection of Fraudulent financial…

## DATA HANDLING IN R

DATA HANDLING WITH ‘dplyr’ PACKAGE IN R What is data handling? The first and foremost knowledge needed for Data Analyst or Data Scientist is how to handle the data? Now the question is what is data handling? Data handling means gathering…

## DIFFERENT WAYS OF VARIABLE REDUCTION

Once upon a time, there was a teacher in a village he asked his students to narrate the importance of Subhas Chandra Bose in the fight for freedom of India. But he started from the name of parents of Subhas Bose and described his early life…

## Statistics for Data Science

Data can only be turned into information by statistics, but big data calls for the data science! Statistics and Probability are important parts of Data Science and you will have to be very efficient in it before you try your hands to…

## Outlier Detection Techniques Using R

In an analytical problem first we have to prepare the data because the data we get is not easy to analyze. When preparing the data, we have to face many problems like presence of missing values, presence of outliers etc. In this article I…

## EFFECT OF MULTICOLLINEARITY

EFFECT OF MULTICOLLINEARITY problems due to multicollinearity We start the topic by giving a funny example by which we can realize what multicollinearity is and its effect. One day Ram’s father asked him “Ram, Why your bank balance is so…

## NON-PARAMETRIC TESTS

NON-PARAMETRIC TESTS Within a parametric framework at first we assume an explicit functional form of the population distribution function which is labelled by a parameter ϴ where ϴ is unknown or not completely known and subsequently any…

## Difference between K-Means Clustering and Hierarchical Clustering

Cluster analysis or simply clustering is the process of partitioning a set of data objects into subsets. Each subset is a cluster such that the similarity within the cluster is greater and similarity between the clusters is less. Cluster…

## Implementation of Statistical Test into R

Implementation of Statistical Test into R What is statistical hypothesis? A statistical hypothesis is an assertion or conjecture about the distribution of one or more random variables. If the hypothesis completely specifies the…