Machine Learning at the Academies of Loudoun — a from-scratch tour of the field, from pandas and linear regression through CNNs, RNNs, and Transformers.

   
Instructor Dr. White
Room 2312
Meeting days Block 3, A days

New to the course? Start with Getting Started with Google Colab — you’ll need it on day one. Course material is organized by unit in the sidebar; the day-by-day schedule below is what sets the pace.

Daily Assignments

Most recent first.

  • August 19, 2026 (Wednesday)
    • Weather: Define a good weather day and a bad weather day using the data fields described here
    • In class we looked at the “Cloudy Days in Leesburg” notebook. Please complete it for next class (Unit 1)
  • August 17, 2025 (Monday)
    • Intro to class. Installing software.
    • Set up Colab (Getting Started)
    • Complete the Unit 1 Notebook “Introduction to JupyterLab and Python”