Week Date Lead Instructor Topic Functions introduced Assigned Due Reading
1a 9/28/20 - No Class (Yom Kippur)
1b 9/30/20 Joe Intro to course Final
Vote!		 HML Ch. 1
2a 10/5/20 Daniel Inference vs. Prediction
Bias-Variance Tradeoff
Regression vs Classification
Vote!		 APM: Ch. 1, ISLR: Ch. 2.1
2b 10/7/20 Guest Lecture:
Sondra Stegenga		 Ethics in Machine Learning
Vote!		 Floridi & Taddeo (2016)
3a 10/12/20 Joe Train and Test Splits
k-fold CV		 initial_split
train()
test()
vfold_cv()
Vote!		 ISLR: Ch. 2.2
3b 10/14/20 Joe Lab 1: Resampling Lab 1
Vote!		 Data Quiz ISLR: Ch. 5.1, APM: Ch. 5, APM: Ch. 11
4a 10/19/20 Joe Extending lm: Ridge, Lasso, Elastic net Choose “model function”, set_engine(), set_mode(), fit_resamples()
Vote!		 ISLR: Ch. 6.1, HML: Ch. 6, APM: Ch. 6.4
4b 10/21/20 Joe Lab 2: Penalized Regression metric_set(), collect_metrics(), select_best(), tune_grid(), grid_regular(), show_best() Lab 2
Vote!		 Lab 1
5a 10/26/20 Daniel Feature engineering {recipes}
Vote!		 FE: Ch. 1, HML: Ch. 3
5b 10/28/20 Daniel Lab 3: Feature Engineering Lab 3
Vote!		 Lab 2
6a 11/2/20 Joe K-nearest neighbor nearest_neighbor(), grid_max_entropy(), autoplot()
Vote!		 Prelim fit 1 HML: Ch. 8
6b 11/4/20 Daniel Lab 4: Guided walkthrough with HPC & KNN Lab 4 Lab 3
7a 11/9/20 Daniel Decision trees HML: Ch. 9
7b 11/11/20 Daniel Bagged trees Lab 4 HML: Ch. 10
8a 11/16/20 Joe Random forests {workflows},extract() HML: Ch. 11
8b 11/18/20 Joe Lab 5: Tree-based models & Quick review Lab 5 Prelim fit 2
9a 11/23/20 Daniel Boosted Trees 1 HML Ch. 12
9b 11/25/20 Daniel Boosted Trees 2 Lab 5
10a 11/30/20 - Work Day HML Ch. 13, HML Ch. 15
10b 12/2/20 Daniel Intro to neural nets w/Keras & Tensorflow
Finals Week 12/7/20 Final Project (by 11:59 PM)

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