Dr. Shripad Bhat

Standard Deviation vs Standard Error: Clearing up the Confusion with Visual Examples

Standard deviation and standard error are two statistical measures that often get confused with each other. While both measures describe the variability in the data, they serve different purposes. Standard deviation measures the spread of the data. It calculates how far the individual data points deviate from the mean of the data set. A low …

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Demystifying Degrees of Freedom with Visual Examples: A Beginner’s Guide

The concept of degrees of freedom is essential in statistical analysis, and it is commonly used in various statistical tests. In this blog post, we will explore A) Without any restriction B) With a restriction C) Degrees of freedom in contingency tables D) Bessel’s correction  with examples. This will help you to understand degrees of  …

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A Beginner’s Guide to t-tests: Real-life Applications of t-test: One-Sample, Two Sample and Paired Sample t-test

William Sealy Gosset, an English statistician who was also a beer brewer, developed the t-test. He used this test to ensure the consistency and quality of the beer he produced. Gosset published his work under the pseudonym “Student”, which is why the t-test is also known as the Student’s t-test. There are three types of …

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Basics of Blockchain Technology

Blockchain technology has gained popularity in recent times. This article covers some of the fundamental concepts associated with it, including: What is blockchain? Why do we need blockchain? How does blockchain ensure trust? Who invented it? When to use it? When not to use it? So, let’s get started. What is blockchain? How does blockchain …

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Naïve Bayes Classification Model for Natural Language Processing Problem using Python

Learn how to apply a Naïve Bayes classification model to solve a Natural Language Processing (NLP) problem in Python in this article. Here are the steps we will cover: Download a sample dataset Split the dataset into test and train data Vectorize the data Build and measure the accuracy of the model References Further reference …

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Outliers

Handling Outliers in Python How to detect outliers Histogram Histogram also displays these outliers clearly. Scatter Plot If there are more than one variable and scatter plot is also useful in detecting outliers visually. Handling Outliers If we can’t rectify the outliers, then we may think of some the following methods to handle outliers. Doing …

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Feature Selection: Filter method, Wrapper method and Embedded method

In this post, let us explore: What is feature selection? Why we need to perform feature selection? Methods What is Feature Selection? Feature selection means selecting and retaining only the most important features in the model. Feature selection is different from feature extraction. In feature selection, we subset the features whereas in feature extraction, we …

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