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. And more to come!
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