Introduction Keywords play an important role in text analysis, as they help us understand the key themes and topics covered in a piece of text. In this article, I’ll walk you through the process of extracting top keywords from a given input text using Python and the YAKE (Yet Another Keyword…

An easy way to grow the training data set — MNIST dataset has is known as “Hello world” of Image classification. Every Machine Learning Engineer tackles this dataset sooner or later. Dataset MNIST is a set of small images of handwritten digits. Look at the below image which has a few examples instances. There are 70,000 images and each image has…

Introduction to SciKit Imputer — Most of the Machine Learning Algorithms cannot work with missing values in the features. See the below example of the Melbourne Housing Data.

Automate your tedious job using Github Actions. — What is Github Actions? GitHub Actions enables you to create custom software development life cycle (SDLC) workflows directly in your GitHub repository. Github Actions are custom code/instructions that interact and perform some operations in your Github repo any possible way you would like. (really!!!) CI/CD are the legacy examples of it. If you know…

Do the scars remain? — Before I start, I want to thank and appreciate Aman Panchal for allowing me to dig deep in his past few years of a life-changing experience. In his words, he says, “I learned to live”. Wait…Who is he? Nobody, though Somebody. Pick one random person from the crowd, he is the one. He…

if valand if val is not None are not the same! Woah, what??? Python is (not) crazy. When you do if val is None, you call the operator is, which checks the identity of x. i.e, if val is value Here, is operator checks whether both the operands refer to the same object or not. None…

Easy implementation using Python and NLTK — Introduction TextRank is an algorithm based on PageRank, which often used in keyword extraction and text summarization. We will implement the TextRank Algorithm for Sentence Extraction in Python. …

Law of Karma explained, the easiest way. I and my friend met a lady at a restaurant on a pleasant Sunday morning who shared the table with us for breakfast, as she was not getting any empty table around. We don’t talk to strangers often, Yes We, We all, correct…

It’s very short. Promise. — Top Articles 1. Text summarization in 5 steps using NLTK This article explains the implementation of Text Summarizer using Python. Very easy to understand and implement. 2. Text summarization using NLTK: TF-IDF Algorithm I’ve explained the implementation of TF-IDF algorithm for the single document-multiple paragraphs. …more at Towards Data Science 3. Java: Simple Factory Pattern