The practical impact of AI-driven query optimization can be seen across various industries, revolutionizing how businesses operate and innovate. From streamlining e-commerce searches to accelerating healthcare research and enhancing financial fraud detection, AI is making databases more efficient and intelligent. Below are some specific examples of how AI is being applied to solve real-world data […]

AI is not just a buzzword in the database world; it’s a game-changer. By enhancing query optimization, AI is helping businesses handle complex data challenges with ease. As we look ahead, integrating AI into database management will be essential for staying competitive in a data-driven world.

In this activity, you will build an interactive web application for classifying Iris flower species using Streamlit and a Random Forest Classifier algorithm. This practical is a hands-on demonstration of combining machine learning and web application development to create a user-friendly tool for predictive analysis. Streamlit is an open-source Python framework for data scientists and AI/ML […]

In this article, you’ll learn how to interact with form elements on a web page using XPath locators in Selenium WebDriver. By locating elements like input fields and buttons with XPath, you’ll automate actions such as typing text and clicking buttons. This is a fundamental skill in web automation and testing. Below you can find […]

This article explains how to handle checkboxes using Selenium in Python. It includes locating checkboxes on a web page using their unique identifiers, verifying their initial selection state, toggling their selection by clicking, and printing the state changes to the console. 1. Import the Necessary Libraries, creating an driver instance and navigating to the specified […]