Master Python for Artificial Intelligence and Machine Learning with TensorFlow, PyTorch, and Scikit-Learn.
Sub Category
- Programming Languages
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Objectives
- Master Python programming for AI and ML applications.
- Build machine learning models with Scikit-Learn (e.g., Random Forest).
- Develop deep learning models using TensorFlow and PyTorch.
- Process and visualize data with Pandas, NumPy, and Matplotlib for AI/ML tasks.
Pre Requisites
- No programmingA computer with internet access (Windows, macOS, or Linux).
- No prior programming or AI/ML experience required—everything is taught from scratch.
- A Google account for Google Colab (free) and optional GPU access.
- Enthusiasm to learn and build exciting AI/ML projects. experience needed.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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