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Resources from section will be posted here.
Topics may change based on student interest.
Attendance
Attend either section (or neither); the content will be the same on each day,
and we will not take attendance.
Section topics
Date corresponds to the date of the first section on a topic (usually, a Tuesday).
8-26-21: First week of classes, no section
9-7-21: Python for data science: seaborn and pandas video notebooks
Bonus: Linear Algebra review video (from last year)
9-14-21: Github and Jupyter video notebooks
9-21-21: Linear algebra and gradient descent video
9-28-21: Project critiques video
10-4-21: Generalization and validation video
10-12-21: Advanced scikit-learn video
10-19-21: Data structures for efficient trees video
10-26-21: Optimization video
11-2-21: Post-hoc interpretability techniques (SHAP, LIME) video
11-9-21: Unsupervised learning video
11-16-21: AutoML in practice video
11-23-21: no section (Thanksgiving)
11-30-21: Causal inference
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