Schedule

Week	Session	Day	Date	Topic
1	1	M	01/13	Course Overview & The Machine Learning Landscape more Assignment 1 due 01/20 11:59 PM
1	2	Th	01/16	Python Basics more
2		M	01/20	Martin Luther King Jr. Day. Staff holiday. No classes. **
2	3	Th	01/23	Python Basics more
3	4	M	01/27	Python conditionals, loops, functions, aggregating. more **
3	5	Th	01/30	Python conditionals, loops, functions, aggregating (continued) more
4	6	M	02/03	Python visualization, data manipulation , and feature creation. more **
4	7	Th	02/06	Python visualization, data manipulation , and feature creation (continued) more
5	8	M	02/10	Overview of Modeling more **
5	9	Th	02/13	Overview of Modeling more
6	10	Tu	02/18	Introduction to R more **
6	11	Th	02/21	Introduction to R more
7	12	M	02/24	Python and Regression more
7	13	Th	02/27	Python and Regression more
8	14	M	03/02	Unsupervised Models more
8	15	Th	03/05	Midterm more
9		M	03/09	No-class Spring Break
9		Th	03/12	No-class Spring Break
10	16	M	03/16	Extended Spring Break more **
10	17	Th	03/19	Extended Spring Break more
11	18	M	03/23	Time Series Analysis, Unsupervised models more **
11	19	Th	03/26	Time Series Analysis, Unsupervised models more Assignment 8 due 04/02 11:59 PM
12	20	M	03/30	Text and NLP more
12	21	Th	04/02	Text and NLP more
13	22	M	04/06	Image Data and Deep Learning more
13	23	Th	04/09	Image Data and Deep Learning more
14	24	M	04/13	Automl and Modeling Packages more
14	25	Th	04/16	Automl and Model Search more
15	26	M	04/20	Automl and Model Search more
15	27	Th	04/23	Big Data more **
16	28	M	04/27	Final Presentations more
17	29	M	05/06	Final Exam Wednesday, May 6. You will have a 12 hour window starting at 9:00 AM to complete assigned take home exam. more