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## K-Nearest Neighbors Algorithm: A Clear Explanation with Examples and Math

What is k-nearest Neighbors Algorithm? In this article, we will delve into the k-nearest Neighbors Algorithm, or KNN. KNN is a supervised machine learning algorithm employed for both classification and regression tasks. It operates on a straightforward and intuitive principle—the principle of proximity. The underlying concept is that similar things …

## Random Forest Algorithm – Comprehensive and Practical Guide

The Random Forest, a machine learning algorithm, is user-friendly and often provides excellent results even without adjusting its hyperparameters. Due to its simplicity and usability, this algorithm is considered one of the most widely used machine learning algorithms for both Classification and Regression. In this article, we will examine how …

## SQL Tutorial in Two Hours: A Beginner’s Guide

In today’s world, data is everywhere, and its management has become a critical skill in various industries. Structured Query Language (SQL) is a programming language used to manage and manipulate data stored in relational databases. SQL is a vital tool in the data industry, and its demand is on the …

## Understanding Data Science: Definition, History, and Necessity

What is data science? Data science is an interdisciplinary field that involves extracting insights and knowledge from data using various statistical, computational, and machine learning techniques. It involves collecting, cleaning, processing, and analyzing large and complex datasets to identify patterns, trends, and correlations that can be used to make informed …

## Using the Reduced Basis Method (RBM) to Efficiently Solve Both Differential Equations and Reduce Dimensionality in Scientific Simulations

Introduction to the Reduced Basis (RB) Method The Reduced Basis (RB) Method is a mathematical tool that has been gaining widespread popularity in recent years. It is a model order reduction approach that allows for the efficient yet reliable approximation of input-output relationships induced by parametrized partial differential equations. This …

## A Beginner’s Guide to QR Factorization in MATLAB: Understanding and Implementing the Algorithm

Numerical linear algebra is a branch of mathematics that deals with the efficient computation of solutions to systems of linear equations and eigenvalue problems. One of the key tools in numerical linear algebra is the QR factorization, also known as QR decomposition. This powerful technique can be used to solve …

## Unleashing the Power of Principal Component Analysis (PCA) for Data Analysis

Principal Component Analysis (PCA) is a widely used statistical method in the field of machine learning, data analysis and pattern recognition. It is a dimensionality reduction technique that helps to simplify complex data sets by transforming them into a new space with reduced dimensions, while preserving most of the important …

## Fuzzy TOPSIS Software for Easy Multi-Criteria Decision Making – Excel and MATLAB

Data Harnesing website has introduced TOPSIS Fuzzy software for the first time, which is available in both Excel and MATLAB environments. There is no restriction on the number of criteria and options that can be evaluated. The software comes with accompanying training files in the relevant package to make it …