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Facts are stubborn, but statistics are more pliable

— Mark Twain

This article illustrates an approach to visualise the distribution of observations for the given dataset with histograms. …

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I like elegance. I like art nouveau; a stretched line or curve. These things are very much in the foreground of my work

-H. R. Giger

In the fourth article on our current visualisation series, we familiarise the audience with two kinds of plots viz: bar-line graphs and line graphs…

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Mankind invented a system to cope with the fact that we are so intrinsically louse at manipulating numbers. It’s called the graph. — Charlie Munger

In the third article on our data visualisation series with python we familiarise the users with line and box plots as powerful tools for representing…

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The question is not what you look at, but what you see.

-Henry Thoreau

In the second article in the series on introduction to visualisations we discuss how to identify relationships among different variables following a matrix representation with a colour coded scheme through heatmaps. …

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Open your eyes and see the beauty!

This article aims to introduce readers to smart approaches to visualise data. Whether we perform exploratory data analysis where the goal is to understand data ourselves or perform explanatory data analysis where we need to communicate to the end users, data visualisations can…

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One of the secrets of successful living is found in the word balance, referring to the avoidance of harmful extremes.

James C. Dobson


Getting a balanced dataset to train machine learning models continues to pose challenges. However there is no lack of methods and theories discussed among research communities…

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If you do not know how to ask the right question, you discover nothing. — W. Edward Deming

There are many real life applications in which we encounter datasets with uneven distribution of samples across target labels. As minority class is usually the class which is more important and usually…

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Balance is the key to everything — Koi Fresco

After a comprehensive look at some key data preprocessing tasks in our previous articles, it’s now time to understand the concept of imbalanced datasets, commonly a problem with the real world datasets. …

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The key to artificial intelligence has always been the representation. — Jeff Hawkins

The primary objective of this article is to enhance the accuracy of ML models trained for object detection by annotating unique objects within an image . …


“Go down deep into anything and you will find mathematics.” — Dean Schlicter

Through this article, we discuss morphological operators and their usefulness towards extracting the most accurate shape of the underlying object/element, with the examples of digits represented in four different languages.

The samples from four language classes are…

Insights on Modern Computation

A Communal initiative by Meghana Kshirsagar (BDS| Lero| UL, Ireland), Gauri Vaidya (Intern|BDS). Each concept is followed with sample datasets and Python codes.

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