This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.
This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud services of Microsoft Azure by clearing the AZ-900 Microsoft Azure fundamentals exam. The course is recommended for job seekers looking for a career in the cloud domain.
With the help of this course, you will be able to master the Linux commands and be able to access your computer files and directories without using the keyboard or mouse. You will also explore Bash scripting and develop the necessary skills that will help you in ethical hacking.
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This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.
Welcome to the Bootcamp course. You will obtain a firm understanding of machine learning with this course. By doing so, you will be able to develop machine learning solutions for various challenges you might encounter and be prepared to start using machine learning at work or in technical interviews.
This beginner to the intermediate-level course on .NET MAUI mobile application development enables you to advance your Visual Studio coding skills and implement interfaces using XAML. Learn to develop and publish Minimal API with .NET Core using event driven development while understanding logic and syntax when working on the .NET environment.
This is a fun project-based course to learn how to create awesome layouts using the Tailwind CSS framework and to get comfortable using utility classes over something like Bootstrap, which uses component-based classes. Experiment and learn all about certain aspects of Tailwind with the help of this course.
Gain a thorough grasp of time series analysis and its effects, as well as practical tips on how to apply machine learning methods and build RNNs. Learn to train RNNs efficiently while taking crucial concepts such as overfitting and underfitting into account. The course offers a useful, hands-on manner for learning Python methods and principles.