Machine Learning Made Simple: A Google Colab Approach for Educators and Learners
Sub Category
- Other IT & Software
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Objectives
- Understand what Machine Learning is and how it differs from traditional programming.
- Explain supervised, unsupervised, and reinforcement learning in simple terms.
- Implement basic ML models in Python (Linear Regression, Classification).
- Work with datasets using Pandas and visualize results with Matplotlib.
Pre Requisites
- This course is designed for absolute beginners — no prior experience in machine learning is required.
- Basic computer literacy: ability to use a web browser, download files, and open documents
- Some familiarity with ICT concepts or programming logic (optional but helpful).
- Access to the internet and a Google account (for running hands-on exercises in Google Colab — no installation needed).
- A laptop or desktop computer with a modern web browser (Chrome, Edge, or Firefox).
- While basic coding experience is an added advantage : all examples are explained step-by-step using clear Python code and datasets provided in the course resources.
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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