Supervised Learning with scikit-learn
Teaches how to build predictive models using real-world datasets, covering classification, regression, and model evaluation techniques.
Teaches how to build predictive models using real-world datasets, covering classification, regression, and model evaluation techniques.
Learn to create effective prompts for generative AI tools like ChatGPT to enhance applications in business, education, and everyday tasks.
Learn about the ethical challenges of AI and big data through case studies, NLP applications, and examining their impact on society.
Introduces AI concepts, explores data center and cloud infrastructures, and prepares learners for the NVIDIA-Certified Associate certification.
Teaches Python programming fundamentals, including functions, conditionals, loops, object-oriented programming, and file handling, through hands-on projects.
Introduces Python fundamentals like variables, loops, functions, and data structures through structured lessons and practical exercises.
An introductory course that teaches the core concepts of computer science and programming, including algorithms, data structures, software engineering, and web development, with the option to audit individual modules.
Learn how to use GitHub Copilot with Visual Studio Code to write code more efficiently, with hands-on exercises like creating and improving a Pomodoro timer app.
Introduces programming concepts using MATLAB, covering topics like variables, functions, and control flow through hands-on exercises.