Learn Scrum, a popular framework used to develop software applications through the Agile methodology. This course provides you with step-by-step instructions for learning Scrum and gaining a strong foundation toward various Scrum certifications. Learn Scrum with a build-along experience and apply Scrum in your Agile-based product team at work.
In this course, you will be learning one of the widely used deep learning frameworks, that is, PyTorch, and learn the basics of convolutional neural networks in PyTorch. We will also cover the basics of Python and understand how to implement different Python libraries.
Welcome to the Blender to Unreal Engine 3D Props Medieval Gallows course. In this course, we will be creating a set of medieval gallows with aged wooden planks and rope. These medieval gallows game assets also incorporate animated elements such as a collapsible platform that was used to run the executions in the medieval age.
Develop a Zombie Survivor FPS game from the beginning. Learn to create the zombie game step-by-step and set up your personally designed characters, weapons, animations, effects, and more. Create game modes with a complete game scenario with all the assets to build the game included in this course.
Welcome to a project-based intermediate course. This course is designed to learn how to create new and exciting projects using various python modules. In each section, we will build a project and with each project, you will learn how to create an online multiplayer game, AOL-style chat room, and more!
This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.
Welcome to the Blender to Unreal Engine 3D Props Medieval Market Stall course. In this course, we will be creating a medieval market stall game asset incorporating cloth simulation. One of the best parts of the course is finding out a clever way of distributing numerous vegetables in a crate using an emitter.
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.
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.
In this course, we will master the syntax and structure of RSpec then learn to utilize test-driven development principles to design and implement clean test specs and reduce dependencies in the test suite by mocking objects with class and instance doubles. We will also explore the wide collection of RSpec matches available to test the code.