Calendar

Caution

Please note that this is a tentative plan and is subject to change.

#	TOPIC	READING	MEETING 1	MEETING 2	WRITTEN ASSIGNMENT	PROGRAMMING ASSIGNMENT
1	Introduction	McKinney Ch.5, 8, 10	Intro	Pandas Intro	WA1	PA 1
2	Dropping/Retaining relevant rows/columns	McKinney Ch.5, 8, 10	Selection, Filtering and Dropping	Data Manipulation and Wrangling	WA2	PA 2
3	Working with multiple data files	McKinney Ch.5, 8, 10	Concatenation	Merging	—	PA3
4	Custom Transformations	McKinney Ch.5, 8, 10	Apply	Apply	WA3	PA4
5	Data Visualization	McKinney Ch.9	Line plots	Scatter	—	PA5
6	Encoding and Representation	McKinney Ch.7	Encoding Feature Types	Images + Sound + Text	WA4	PA6

MIDTERM

#	TOPIC	READING	MEETING 1	MEETING 2	WRITTEN ASSIGNMENT	PROGRAMMING ASSIGNMENT
7	Nearest Neighbor	Skiena Ch. 8 and Ch. 10	Geometric Interpretation	Dot Product	—	PA7
8	Probability + Stats	Skiena Ch.2				PA8
9	Naive Bayes	SLP 3rd edition Ch.4				PA9
10	Expectation Maximization	Skiena Ch.10 (10.5)				PA10
11	Gradient Descent	Skiena Ch.9 (9.1-9.5)

FINAL EXAM