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AI & Machine Learning

DIYA Research - AI & Data Science

The program culminates in a social-impact capstone project aligned to the UN Sustainable Development Goals, allowing students to apply data science and machine learning to real-world challenges.

🔥 High School 🕒 3-week Virtual Camp Online Intermediate 💰 $600 total
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About this camp

The DIYA Research AI & Data Science program is an intensive 3-week virtual camp designed for high school students (grades 9-12) with prior Python programming experience. Students delve into the foundations of data science and artificial intelligence through hands-on coding. The curriculum focuses on practical skills such as collecting, cleaning, and exploring real-world datasets using industry tools like Pandas and Seaborn. Participants learn to build clear visualizations and communicate insights effectively. The program also covers training and evaluating core machine learning models, including linear regression, decision trees, and random forests, to make predictions and interpret results responsibly. Throughout the program, students engage with diverse case studies spanning public health, climate monitoring, sports analytics, and misinformation patterns. The camp culminates in a social-impact capstone project aligned with the UN Sustainable Development Goals, where students apply their acquired data science and machine learning skills to investigate real-world social challenges and develop data-driven insights.

What a typical day looks like

A typical day involves live online sessions from 2:00 PM - 4:00 PM PST, covering foundational concepts with real-world case studies, hands-on coding practice with guided feedback, and collaborative learning through discussions.

Best suited for

This program is best for high school students in grades 9-12 with prior Python programming experience and an interest in working with data, problem-solving, and analytical thinking.

What you'll learn

Data Preparation with Pandas Data Visualization with Seaborn and Matplotlib Machine Learning for Prediction (Linear Regression Decision Trees Random Forests) Statistical Reasoning & Analysis Social Impact Capstone Project

Location

Virtual

Sponsored · Research Ignited

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