- Getting Started
- Goal Setting for Research Success
- Crafting Your Research Blueprint Lecture
- Analyzing and Modeling Your Data Lecture
- Machine Learning Template and Guide Walkthrough
- Bringing Your Research To Life Lecture
This course is intended for PURCHASE BY ADULTS as those under 18 may use this course only if a parent or guardian opens their account, handles any enrolment, and manages their account usage.
Unlock the power of Machine Learning and Data Science with this comprehensive course designed specifically for high school students and beginners. You'll learn how to harness advanced data analysis techniques and machine learning models to enhance your research projects, whether for AP Research, publication, or personal exploration.
What You'll Learn:
Basic Concepts: Discover what Machine Learning is and how it operates. Understand the foundational principles and terminology that will serve as the building blocks for more advanced topics.
Data Analysis Techniques: Master key methods for manipulating, analyzing, and visualizing data using tools such as Pandas. Learn how to transform raw data into meaningful insights.
Machine Learning Models: Explore different types of machine learning algorithms, including supervised and unsupervised learning. Gain practical skills in building, training, and evaluating models with TensorFlow.
Research Project Development: Learn to design and execute a research project that incorporates machine learning and data science. From formulating research questions to conducting analysis, you'll be guided through each phase of your project.
AP Research Preparation: Acquire strategies for excelling in AP Research. Develop a clear research plan, utilize machine learning effectively, and prepare your work for submission.
Publication and Presentation: Understand best practices for publishing your research and presenting your findings. Learn how to communicate complex data and results in a compelling and accessible way.
Who Is This Course For:
High School Students in AP Research: Those aiming for a top score in their AP Research projects and looking to incorporate advanced data science and machine learning techniques.
Aspiring Researchers: Students and beginners interested in conducting and publishing research using modern data analysis tools and methodologies.
Data Science Enthusiasts: Individuals who are curious about data science and machine learning and want to learn how to apply these skills in practical research settings.
Future Tech Innovators: High schoolers who aspire to pursue careers in technology and data science and want to build a strong foundation in these areas.
Personal Project Creators: Anyone looking to enhance their personal or academic projects with machine learning and data science insights.
Keep in mind: Those under 18 may use this course only if a parent or guardian opens their account, handles any enrolment, and manages their account usage.
Why Take This Course:
By the end of this course, you'll have accomplished whichever goals you set for yourself in the first lesson, whether that be for AP Research, publication, or personal exploration. You'll be equipped with practical skills and a solid understanding of machine learning and data science, ready to make a significant impact in your academic and personal projects.
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My name is Emily Joseph, and I am a high school senior passionate about helping others gain research experience early on. I am currently publishing a research paper co-authored with a Harvard alumnus, have conducted data analytics for the City of Austin’s Against Hate Initiative, and earned a 5 on both AP Seminar and AP Research. I enjoy assisting others with their data science and machine learning journeys, so please feel free to reach out if you have any questions.