Schedule

Note: The timeline of topics and assignments might be updated throughout the semester.

week	date	topic	slides	appex	assignment	assessment	prepare
1	27 August	Welcome
1	29 August	Lab 01: Welcome to R
2	3 September	Trade-offs: Accuracy and interpretability, bias and variance					ISLR Sections 2.1 and 2.2
2	5 September	Design Principles of Data Analysis
3	10 September	Data Visualization in R
3	10 September	Exploratory Data Analysis
3	12 September	Cross-validation					ISLR Section 5.1
3	12 September	Introduction to tidymodels
4	17 September	Lab 02: Cross-validation
4	19 September	Introduction to Linear Regression					ISLR Sections 3.1, 3.2, 3.3
5	24 September	Linear Regression in R
5	26 September	Ridge Regression					ISLR Sections 6.1.3 and 6.2.1
5	26 September	Lasso & Elastic Net					ISLR Sections 6.2.2 and 6.2.3
6	1 October	Penalized Regression in R
6	1 October	Lab 03: Ridge, Lasso, Elastic Net
6	3 October	Midterm Review
7	8 October	Midterm (Part 1)
7	10 October	Midterm (Part 2)
7	15 October	Logistic Regression					ISLR Section 4.3
8	17 October	Lab 04: Logistic Regression					ISLR Section 4.4
8	22 October	Missing Data
9	24 October	Polynomial Regression and Splines					ISLR Sections 7.1, 7.2, 7.3, 7.4
10	29 October	Non-linear Models in R
10	29 October	Lab 05: Non-linear models
10	31 October	Decision Trees (Regression)					ISLR Section 8.1
1	5 November	Decision Trees
11	7 November	Decision Trees (Classification)
11	7 November	Bagging					ISLR Section 8.2
11	7 November	Random Forests
12	12 November	Boosted Decision Trees
12	14 November	Neural Networks
13	19 November	Lab 06: Ensemble Models
13	21 November	TBA
14	26 November	Thanksgiving [No Class]
14	28 November	Thanksgiving [No Class]
15	3 December	Review
15	5 December	[No Class]