Manhattan distance, a metric used to calculate distances in grid-like structures, is an important metric in distance calculation. In this document I will be sharing details around the same. I will also share real-world applications of Manhattan distance, including optimizing
Category: Data Science for All
Articles, posts, and documents tailored for all stages of the Data Science journey. These resources are crafted in an easy-to-understand format, ensuring accessibility for everyone, from beginners to seasoned professionals.
New to data science? Cosine Similarity might sound complex, but this guide breaks it down in simple terms. Learn how this metric is used to measure similarity between text documents and its real-world applications. Things we will cover in this
This document that I share today, explores the concept of Euclidean distance and its application in measuring user similarity, particularly in the context of recommendation systems. I am sharing clear explanation of Euclidean distance, its calculation, and interpretation of results.
There are 100s of tools available to support Data Scientists to do their day to day job. But due the usefulness, features and ease to use, few are widely popular compared to rest. This document provides a brief overview of
Data Science and AI are the basis of Credit Risk. Knowing how various models are created for credit risk (All Major Scores details are publicly available), you can leverage the same to identify best practices to maintain high credit score.
Credit Scoring Central Agencies are different across different nations. In this article I am going to cover some of the key Credit Scores, and the important parameters for them. For USA Credit Agencies, actual distribution of parameters weights is available
Credit Risk is one of the key area where Data Science is leveraged heavily, and from many decades now. Today I will cover how Data Science plays a key role in Credit Risk, and they areas it is used. The
SQL remains a key element to begin the path of Data Science. In the upcoming posts, I will cover various aspects of SQL. But first, the initial step is to access a server to run queries freely. In this document,
The field of data science is vast and ever-evolving, a fusion of mathematics, programming, and analytical acumen. Today, I’m sharing a well crafted document that charts a clear course from the basics to the advanced levels of data science expertise.
I’m sharing a comprehensive document that delves into the core of Data Engineering, Data Science, and Business Analysis. Whether you’re starting your career or looking to pivot into the data realm, this resource is tailored for you. 🔍 Inside, you’ll