🚀 Think you’ve got what it takes for a career in Data? Find out in just one minute!
To make data intelligible and understandable, organisations use a multitude of tools. But as data has evolved over the years, so have these technologies. That’s
Relational databases contain thousands and thousands of rows. To simplify processing, it is vital to identify the different records in a table clearly and efficiently.
Front-end and back-end are two essential concepts in software development. They are used by programmers and IT professionals to describe the different layers that make
Microsoft SQL Server is one of the most widely used RDBMSs for businesses, with a wide range of applications including transaction processing, business intelligence and
Artificial intelligence is advancing so rapidly thanks to the development of neural networks. Since 2017, a new architecture model has emerged: Transform Neural Networks (TNNs).
If you’re reading this article, you’re probably familiar with this very popular containerisation tool in the DevOps world: Docker. But what exactly is Docker Compose,
Imbalanced Learn is an open source Python library that addresses the problem of class imbalance in Machine Learning datasets. Find out why it’s particularly useful,
The CSV (Comma Separated Values) format is used to represent data in text form, and is the preferred choice for importing, exporting and exchanging data
The advent of Big Data means exponential growth in the volume of data. And while this information may seem immaterial, it actually takes up a
XGBoost stands for eXtreme Gradient Boosting. As its name suggests, it is a Gradient Boosting algorithm. It is coded in C++ and available in just
SQL TRIM is a function dedicated to the management of white spaces within a database. It helps improve data quality and increase operational efficiency. Find
Excel Linear regression is one of the statistical concepts that must be mastered when designing predictive analyses and machine learning models. While this is one
