Course Description
Artificial Intelligence can solve problems and define strategies way faster than humans can.
Harness the power of machine learning to answer your own questions about the world around us:
When is the optimal time to purchase or liquidate stocks and other financial instruments?
What is the optimal strategy to compete in a game (such as poker or chess)?
What is the optimal roster for a fantasy sports league?
You can learn to use freely available data to answer these questions and more!
Students will learn a complete methodology for approaching and solving problems using data and machine learning in the python programming language. This will build a strong foundation for students to pursue opportunities or internships in humanity research and science research areas such as bioinformatic research.
Register now at http://tiny.cc/SpringLightTech
No programming experience is required.
No system requirements.
For student 7th to 12th
Course Syllabus
5 Classes, 10 hr Total, 2 hr Sessions
Day 1. Python Installation and Programming Introduction
Day 2. Universal Programming Basics Continued
Day 3. Philosophy of Data Science and Python Basics
Day 4. Visualizing Data and Applying Machine Learning Techniques
Day 5. Final Project Presentations
Students will be expected to generate and present a final project report which must include at least one graph illustrating the student's observations.
Check the class schedule and details click HERE.