Day-to-day content for Foundations of Machine Learning (DS3001)/Analytics 1 (DS3021)
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2026/01/13: Introduction
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2026/01/15: Wrangling
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2026/01/20: Wrangling, EDA
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2026/01/22: EDA
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2026/01/27: ECDFs and Outliers
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2026/01/29: k-NN classification
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2026/02/03: k-NN regression
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2026/02/05: Train-test splits, hyperparameters
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2026/02/10: NHANES Project
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2026/02/12: Linear Models
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2026/02/17: Feature Spaces
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2026/02/19: Cross Validation
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2026/02/24: Cross Validation and Regularization
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2026/02/26: Regularization
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2026/03/05: Spring Break
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2026/03/07: Spring Break
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2026/03/10: Genes and Regularization
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2026/03/12: General Linear Models
