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Topics Covered During Spring 2020

  1. (3/12) Introduction to Data Science and working with Data.

  2. (3/19) Data Exploration and Visualizations.

  3. (3/26) Supervised Machine Learning (Classification).

  4. (4/02) Supervised Machine Learning (Regression).

  5. (4/16) Unsupervised Machine Learning Continued (Clustering, Dimension Reduction).

  6. (4/23) Deep Neural Network.

  7. (4/30) Image Classification with Convolutional Neural Network.

  8. (5/7) Natural Language Processing