Here are lists of topics that we have covered:

Fall ’19 – Spring ’20

  1. Jupyter Notebook workshop.
  2. Linear Regression and Logistic Regression.
  3. K-Means Clustering.
  4. Decision Tree.
  5. Support Vector Machine.
  6. Random Forest.
  7. Python and Computer Vision. An intro to OpenCV.

Fall ’20

  1. Python Beginner Workshop.
  2. Python Advanced Workshop.
  3. Cleaning Data (Data Science pt. 1).
  4. Exploratory Data Analysis (Data Science pt. 2).
  5. Model Building (Data Science pt. 3).
  6. Object Detection (Computer Vision pt. 1).
  7. Air Draw (Computer Vision pt. 2).
  8. Neural Networks (Computer Vision pt. 3).
  9. K-Means Clustering.
  10. Convolutional Neural Networks.

Spring ’21

  1. Python Refresher.
  2. Computer Vision: Object Detection.
  3. Computer Vision: Object Tracking.
  4. AI-A-THON!!!
  5. Neural Networks and Tensorflow.
  6. Convolutional Neural Networks.
  7. And more to come!