Machine Learning Classes

<2025-09-01 Mon>	Course Introduction
<2025-09-04 Thu>	Software tools & Python recap
<2025-09-08 Mon>	Polars and array processing
<2025-09-11 Thu>	Polars and array processing lab
<2025-09-15 Mon>	Guest lecture
<2025-09-18 Thu>	Guest lecture
<2025-09-22 Mon>	Linear Regression
<2025-09-25 Thu>	Linear Regression lab
<2025-09-29 Mon>	Classification
<2025-10-02 Thu>	Classification lab
<2025-10-06 Mon>	Generative Models
<2025-10-09 Thu>	Generative Models lab
<2025-10-27 Mon>	Data Ethics
<2025-10-30 Thu>	Exam 1
<2025-11-03 Mon>	Tree-based Methods
<2025-11-06 Thu>	Tree-based Methods lab
<2025-11-10 Mon>	Selection & Regularization
<2025-11-13 Thu>	No class
<2025-11-17 Mon>	Imputation, Clustering & Recommender Systems
<2025-11-20 Thu>	Imputation, Clustering & Recommender Systems lab
<2025-11-24 Mon>	Neural Networks
<2025-11-27 Thu>	Neural Networks lab
<2025-12-01 Mon>	Recurrent Neural Networks
<2025-12-04 Thu>	Recurrent Neural Networks lab
<2025-12-08 Mon>	Data Ethics Presentations
<2025-12-11 Thu>	Exam 2