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2024-08-20
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1
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Welcome + Introduction
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Syllabus | [Server Instructions](../notes/0_tools/0_gi
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2024-08-22
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1
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Lab: R + Rmarkdown
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Lab | Lab Script | [Notes](../n
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2024-08-27
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2
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Statistical Learning
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Blank Notes | [Class Notes](../notes/2_s
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2024-08-29
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2
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Lab: tidyverse + ggplot2
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Lab | [Lab Script](../labs/scripts/2_ggplot2_tidyvers
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2024-09-03
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3
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Linear Regression
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Blank Notes | [Class Notes](../notes/3_regress
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2024-09-05
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3
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Linear Regression
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2024-09-10
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4
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KNN + Classification
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2024-09-12
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4
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Logistic Regression
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2024-09-17
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5
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LDA, QDA, KNN
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2024-09-19
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5
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Lab: Classification
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2024-09-24
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6
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Model Assessment
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2024-09-26
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6
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Cross Validation
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2024-10-01
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7
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Cross Validation + Project Info
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2024-10-03
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7
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GitHub + Lab: Model Assessment
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2024-10-08
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8
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Model Selection + Shrinkage
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2024-10-10
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8
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Dimension Reduction + PCR & PLS
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2024-10-15
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9
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Lab: Regularization, PCR and PLS
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2024-10-17
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9
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High Dimensions
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2024-10-22
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10
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Moving Beyond Linearity + Regression Splines
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2024-10-24
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10
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GAMs
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2024-10-29
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11
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Lab: Regression Splines + GAMs
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2024-10-31
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11
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Tree-based methods
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2024-11-05
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12
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Bagging, Random Forests, and Boosting
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2024-11-07
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12
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Lab: Bagging + Boosting + Random Forests
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2024-11-12
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13
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SVM
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2024-11-14
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13
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SVM
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2024-11-19
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14
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Thanksgiving Break
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2024-11-21
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14
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Thanksgiving Break
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2024-11-26
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15
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Lab: Support Vector Machines
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2024-11-28
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15
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Unsupervised Learning
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2024-12-03
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16
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Project Presentations
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2024-12-05
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16
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Project Presentations
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