Machine Learning for non-coders | Understand Machine Learning concepts & use GenAI to write code for building ML models
Sub Category
- Data Science
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Objectives
- Build a strong foundation in Python, statistics, and machine learning—covering regression, classification, and model evaluation
- Work with real datasets to clean, preprocess, and visualize data using NumPy, Pandas, and Seaborn for ML readiness
- Implement core ML algorithms in Python with ChatGPT-assisted coding for faster, cleaner, and more efficient development
- Master advanced ML techniques like ensemble methods, grid search, and SVMs to create high-performing predictive models
- Handle missing values, outliers, categorical variables, and feature scaling to improve model quality and accuracy
- Leverage ChatGPT to explain complex ML concepts, debug Python code, and generate efficient solutions in real-time
- Compare multiple models side-by-side to select the best fit for predictive accuracy and business requirements
Pre Requisites
- No prior programming or machine learning experience required—A computer with internet access, basic familiarity with browsing tools, and a willingness to explore AI-assisted learning methods.
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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Coupon Code(s)