Learn and master HTML, CSS, Bootstrap, and SASS. Starts right from the basics and increases its level step by step by understanding various concepts, implementing them with different exercises, practicing with games, and building 6 real-world projects.
This is an introductory course on machine learning. The course covers a wide range of topics, from handling a dataset to model delivery. Some prior training in Python programming and basic calculus knowledge will help you get the best out of this course.
In this course, we will build a 3D model of a medieval windmill. Our main goal will be to use Blender to create realistic and completely functional windmill subcomponents, which will include a complex set of wooden supports, balconies, steps, a waterwheel, and windmill arms, and then export them to Unreal Engine 5.
Learn to create with SwiftUI/iOS 16. This course illustrates many features in iOS 16 development using the SwiftUI programming language, covering the basics (Stacks, Forms, Lists, ForEach, Buttons, Sliders, Pickers, Color Pickers, Scroll Views, Sheets, state, binding, and animations) and we create an Emoji Quote app using SwiftUI.
Do you want to know how to add interaction or dynamic content to your webpages; then this is the course for you! Multiple hands-on projects are included in this course that are designed to help you learn more about JavaScript and interacting with the DOM.
The course will help you create amazing interactive dynamic applications that can synchronize data between your database and front-end HTML codes. You need to have basic coding knowledge and a basic understanding of HTML, JavaScript (DOM), and jQuery to take up this course.
This course will help you learn about the process of building mobile-friendly and responsive websites using CSS. You will learn about CSS Grid, CSS float, Flexbox, and mobile navigation bars by creating five websites from scratch.
Learn all the core fundamentals of modern web design, covering all the commonly used syntax for HTML, CSS, JavaScript, and JavaScript DOM with the help of this beginner-friendly course. Go from a static web page to an interactive one with JavaScript. This course is designed to get you started quickly and easily with creating web pages.
This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.
In this course, we will learn the basics of coding in Python by understanding the fundamentals of coding with Python, exploring some code examples, and working on three simple Python projects. This course is designed for beginners; however, basic programming understanding is required.