What You'll Learn
- 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.
Requirements
- 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.
Who This Course is For
- Complete Beginners
- Aspiring Data Scientists and AI Engineers
- Professionals in Related Fields
- Students and Researchers
- Developers Transitioning to AI/ML
Your Instructor
Senior Assist Prof Azad Rasul
Expert in Python and R | GIS and Remote Sensing Scientist.
4.2 Instructor Rating
978 Reviews
88,982 Students
9 Courses
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