Here are lists of topics that we have covered:

Fall 2019

  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.

Spring 2020 

Fall 2020

  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.
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