Practical applications of generative adversarial networks (GAN’s) with Source Code attached — Recently, I have been researching in the field of GAN and to my surprise, there are a lot of applications of this network that could be really helpful in the nearest future. Generative Adversarial Networks (GAN) is the ML model in which two neural networks compete with each other to…

Consolidated list of Definitions, visuals, key characteristics, real-time applications. — If you are planning to give your next data science interview, this article may help you out with some frequently asked data structure algorithms during the interview. Here is the list of my favorite graph algorithms which have great applications as well. The compilation of all the important graph algorithms…

Want to know more specific opportunities in the field of data science — I know data science is a vast field and it's still emerging and the positions are not even clear in many companies. Sometimes a single person does all the analyst, engineer, visual dev, data scientist work all alone. There are few big tech giants who are defining the different roles…

Important Machine Learning algorithms in 2021 — Of course, there is a lot of advancement that happened all over the years in the field of data science. Some new efficient algorithms have been proposed as well through different research works. But few basics will remain the fundamentals of all advanced algorithms. Below is the list of such…

Documentation on Software “Octoparse” — Content of the Document: Introduction to software. • Installation steps Prerequisite material • Must-read Article • Official videos on template mode, advanced mode, how to optimize tasks. General Scenario • Auto-Detect • Manually select Other Scenarios found • Scenario-1 (No pagination required) 1. Case-1 2. Case-2 3. Case-3 4. Case-4 • Scenario-2 (Load more button) 1. Approach-1 (similar to general scenario) 2…

Got Stuck! list of websites that provide expert solutions. — The list could be endless but I have short-listed these top websites to look for in case you are unable to debug queries by yourself. Since when I started my career in data science, there were many times when I got stuck in problems and was unable to find solutions…

A complete guide on generating N-Grams using 5 approaches. — What are N-Grams or Collocations? In layman terms, N-Grams or Collocations are nothing but two or more words that tend to appear frequently together. In the case of collocations, the very first thing needed is to convert a document in the form of a list of tokens/words. …

A complete guide to perform topic modeling using pyLDAvis — Topic Modelling: The purpose of this NLP step is to understand the topics in input data and those topics help to analyze the context of the articles or documents. …

Complete guide on a theoretical and practical understanding of K-means algorithm — What is Text Clustering? Clustering methods are unsupervised algorithms that help in summarizing information from large text data by creating different clusters. This method is useful in terms of understanding what your dataset is mainly about and in what different categories, you can divide the context of the text located in the dataset.