Students will define the problem of stock market analysis and design models in machine learning to support the analysis.
In this lesson, students will learn about computer simulations for engineering before they develop a GPA calculator and visualizer using a spreadsheet program (Google Sheets or Microsoft Excel).
Students in special education face daily academic challenges in the classroom. For example, a student may have difficulty reading and comprehending a text due to visual impairment or dyslexia.
Students are often asked to engage in the practice of code switching both inside and outside the class. Communication with one another is almost second nature to students as they engage in conversation across various mediums and platforms.
The purpose of this ETP is to share with my students the knowledge I have gained during this fellowship on climate action that is being implemented by corporate America to address the climate change crisis.
In this SEMI Foundation lesson plan, students will explore the advantages and challenges of transitioning to electric vehicles by comparing emissions, costs, and incentives through collecting data, graphing data, and writing equations.
A Day in the Life of a Data Scientist is a short term project appropriate for any advisory space that has a college and career focus. Students will learn about non-traditional career paths such as: data scientists, machine learning engineers, program managers, and executive positions.
This lesson series asks students to use a machine learning specialization to explore multiple case studies between various predictive models and analyze an intelligent application that makes predictions from data.
Personalized PG&E usage data is readily available for customers, but what can this data tell us?