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Learn Python, NumPy, Pandas, and Scikit-Learn to analyze data and build machine learning models from scratch.
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Created By Thu Vu
Last updated 2/16/2026
By the end of this course, you'll be able to:
Dive into the course content and explore the curriculum.
2 Chapters
•
3 Lessons
Course Created By,
Expert AI System Engineer
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I am a Senior AI Systems Architect dedicated to the advancement of autonomous agentic workflows. After leading research teams at top Silicon Valley labs, I now focus on building 'human-in-the-loop' systems that bridge the gap between static LLM chats and fully autonomous agents. My teaching approach follows the Roadmap.sh framework, emphasizing the intersection of Planning, Memory, and Tool-Use. I believe the future of software isn't built with code alone, but through orchestrating intelligent entities that can reason and execute multi-step goals.
To get the most out of this course, we recommend having the following prerequisites:
This course is designed for beginners who want to break into the world of data science. Starting with Python fundamentals, you will progressively build skills in data manipulation with Pandas, numerical computing with NumPy, and machine learning with Scikit-Learn.
By the end of this course, you will be able to clean and analyze real-world datasets, visualize data insights, and train predictive machine learning models.
$39.00
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