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Requirements
- Basic computer skills
- No coding experience required (we’ll guide you!)
- A laptop/PC + internet
Target audiences
- Absolute beginners interested in tech or AI
- Professionals wanting to upskill with Python
- Students & self-learners exploring machine learning
- Career switchers looking to break into data science
Course Description
Curious about how machines learn? This practical course takes you from the basics to building real machine learning models using Python. No advanced math or prior experience needed—just curiosity and a willingness to learn. Perfect for beginners who want to enter the world of data, AI, or tech.
What You’ll Learn From This Course
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What machine learning is and how it works
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How to use Python for ML step-by-step
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Supervised vs. unsupervised learning
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Building models with scikit-learn and real datasets
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How to test, train, and improve model accuracy
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Foundations for careers in AI, data science, or automation
Certification
Earn a Certificate of Completion + portfolio-ready ML projects you can showcase.
Nope! This course is beginner-friendly. We’ll walk you through Python basics before diving into machine learning.
Just a computer with internet access. We’ll use free tools like Jupyter Notebook and Google Colab—no need to install anything heavy.
While possible, we recommend using a laptop or desktop for the coding exercises to get the best learning experience.
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