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Section materials for ORIE 4741 in Fall 2021.

Name		Name	Last commit message	Last commit date
Fall 2020		Fall 2020
Section 1 - Python for Data Science		Section 1 - Python for Data Science
Section 10 - AutoML		Section 10 - AutoML
Section 2 - Github, Jupyter, and Colab Crash Course		Section 2 - Github, Jupyter, and Colab Crash Course
Section 3 - Linear Algebra and Gradient Descent		Section 3 - Linear Algebra and Gradient Descent
Section 4 - Generalization Review and Tricks		Section 4 - Generalization Review and Tricks
Section 5 - Scikit-Learn		Section 5 - Scikit-Learn
Section 6 - Basic Data Structures to Use Every Day		Section 6 - Basic Data Structures to Use Every Day
Section 8 - Explainable ML		Section 8 - Explainable ML
Section 9 - Unsupervised Learning		Section 9 - Unsupervised Learning
Session 10 - Causal Inference		Session 10 - Causal Inference
.gitignore		.gitignore
README.md		README.md
Section 7 - Optimization.pdf		Section 7 - Optimization.pdf

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