Machine Learning
Description
This Machine Learning course offers a solid foundation in ML concepts, algorithms, and real-world implementation. Learn how to train predictive models, use Python libraries like Scikit-learn and Pandas, and work on hands-on projects. Ideal for developers, data enthusiasts, and students aiming for a career in AI or data science.
What you'll learn
- Understand supervised & unsupervised learning
- Implement ML algorithms using Python
- Work with Pandas, Numpy, Matplotlib
- Train and evaluate predictive models
- Build real-world ML projects
- Understand bias, variance, and overfitting
Requirements
- Basic Python programming knowledge
- Familiarity with high-school level math
- No prior machine learning experience required
Curriculum
Transform Your Future with Ais Education
- Unlock your potential with expert guidance.
- Achieve your academic and personal goals.
- Empower yourself with lifelong learning skills.
