@@ -11,8 +11,8 @@ Welcome to Economics 524 (424): Prediction and machine-learning in econometrics,
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** Office hours**
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- - ** Ed Rubin** Tu. 2:30p–3:40p
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- - ** Andrew Dickinson** We. 3p–4p
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+ - ** Ed Rubin** Tu. 2:30p–3:40p (PLC 530)
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+ - ** Andrew Dickinson** We. 3p–4p (Zoom)
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## Syllabus
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@@ -193,33 +193,21 @@ Welcome to Economics 524 (424): Prediction and machine-learning in econometrics,
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Planned projects
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- ** 000** [ Predicting sales price in housing data (Kaggle)] ( https://github.com/edrubin/EC524S24/tree/master/projects/project-000 )
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- Due: 20 April 2024 (submit on Canvas)
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+ ** 000** Predicting sales price in housing data (Kaggle)
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** Help:**
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- [ A simple example/walkthrough] ( https://www.kaggle.com/edwardarubin/project-000-example )
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- [ Kaggle notebooks] ( https://rpubs.com/Clennon/KagNotes ) (from Connor Lennon)
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- ** 001** [ Validation and out-of-sample performance] ( https://github.com/edrubin/EC524S24/tree/master/projects/project-001 )
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- Due: 03 May 2024 (submit on Canvas)
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- [ Solution guide] ( https://raw.githack.com/edrubin/EC524S24/master/projects/project-001/key-001.html )
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+ ** 001** Validation and out-of-sample performance
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- ** 002** [ Penalized regression, logistic regression, and classification] ( https://github.com/edrubin/EC524S24/tree/master/projects/project-002 )
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+ ** 002** Penalized regression, logistic regression, and classification
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- Due: 18 May 2024 (submit on Canvas)
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- ** 003** [ Trees, ensembles, and imputation] ( projects/project-003 )
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+ ** 003** Trees, ensembles, and imputation
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[ Help from class] ( projects/project-003/help-003.md )
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- [ Key] ( https://raw.githack.com/edrubin/EC524S24/master/projects/project-003/key-003.html )
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- Due: 28 May 2024 (submit on Canvas)
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## Class project
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[ Outline of the project] ( https://github.com/edrubin/EC524W25/tree/master/projects/class-project )
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