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What is ETL ? ETL stands for Extract, Transform, Load. It consists of three essential components that create extraordinary value in the world of data, known as quality data. ETL allows you to aggregate data from different sources, pool it together, and then extract valuable information for various business purposes. …

Nowadays, AI has become familiar in various fields and has found its place in human life. It is growing rapidly, and many people struggle to keep up with AI developments. Artificial Intelligence (AI) is a branch of machine learning, and it is ubiquitous in our lives, even though we may …

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 …

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 …

Introduction to Tableau: Overview and Installation Tableau is a powerful and versatile data visualization tool that helps users quickly analyze, visualize, and share data insights. It allows users to connect to a wide range of data sources, such as Excel spreadsheets, SQL databases, and cloud-based applications, and transform raw data …

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 …

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 …

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 …

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 …

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 …