PHP - what it is and why you should use it
Are you interested in web development? Have you ever heard of PHP? If not, then this post is for you! In this post, I'll introduce you to PHP. PHP is a server-side scripting language that is used to create dynamic web pages. When a user requests a page from a PHP-enabled web server, the server processes the PHP code in the page and generates HTML, which is sent to the user's browser. PHP code is executed on the server, so users cannot see it in the page source. To get started with PHP, you'll...
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NodeJs - What you need to know
Do you want to be a web developer? Are you interested in learning about Node.js? If you have no idea about what Node.js is or you are still a beginner, this post is for you. Today, we will learn some about what Node.js is and what it can do. Node.js is a popular open-source JavaScript runtime environment that allows developers to build scalable network applications. With its unique features and advantages, Node.js has become one of the most widely used server-side platforms for developing web...
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8 Essential Tools for Beginner Software Developers
If you're a beginner software developer, you're likely eager to get started and create something awesome. However, before you start writing code, there are some essential tools you should have in your toolbox. These tools can help you write, test, and debug your code more efficiently and effectively. In this article, we'll discuss 8 essential tools that every beginner software developer should have. These 8 tools are essential for any beginner software developer. They can help you write, test, a...
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Harnessing Machine Learning for Chronic Kidney Disease Prediction
I'm thrilled to share some key insights from my latest research on predicting Chronic Kidney Disease (CKD) using advanced machine learning techniques. 🔍 Objective: I aimed to enhance the predictive accuracy for CKD by employing XGBoost, a powerful gradient boosting algorithm. By integrating Bayesian Optimization for hyperparameter tuning, I significantly improved the model's performance, making it more robust and reliable. 📊 Key Insights: Data Preprocessing: Handling missing data ...
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