Calendar

Note

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

#	TOPIC	READING	MEETING 1	MEETING 2	WRITTEN ASSIGNMENT	PROGRAMMING ASSIGNMENT
1	Vectorized Operations	Skiena Ch.1	Introduction	Vectorized Operations		PA 1
2	Vectorized Operations	McKinney Ch.5, 8, 10	Pandas I	Pandas II	WA 1	PA 2 PA 3
3	Vectorized Operations	McKinney Ch.5, 8, 10	Pandas III		WA 2	PA 4
4	Encoding and Representation	McKinney Ch.7	Feature Types	Exam 1

Project phase 1 due EXAM 1

#	TOPIC	READING	MEETING 1	MEETING 2	WRITTEN ASSIGNMENT	PROGRAMMING ASSIGNMENT
5	Encoding and Representation	Skiena Ch. 3 (3.1.2, 3.3)	Modalities	Formats		PA 5
6	Data Visualization	Skiena Ch.6	Univariate	Multivariate + Dos and Donts		PA 6
7	Probability	Skiena Ch.2	Probability		WA 3
8	Stats + Logs	Skiena Ch.2	Statistics	Logarithms		PA 7

Project phase 2 due EXAM 2

#	TOPIC	READING	MEETING 1	MEETING 2	WRITTEN ASSIGNMENT	PROGRAMMING ASSIGNMENT
9	Classification + Naive Bayes	SLP 3rd edition Ch.4	Supervised Learning	Classification + Naive Bayes		PA 8
10	Linear Algebra + Nearest Neighbor	Skiena Ch. 8 and Ch. 10	Vectors	Matrices		PA 9

Project phase 3 due EXAM 3

#	TOPIC	READING	MEETING 1	MEETING 2	WRITTEN ASSIGNMENT	PROGRAMMING ASSIGNMENT
12	Clustering	Skiena Ch.10 (10.5)	DBSCAN	K-Means
13	Regression	Skiena Ch.9 (9.1-9.5)	Regression

Project phase 4 due FINAL EXAM