869_course

Resources for MMA, MMAI, and GMMA 869

Datasets

Name	Source	Instances	Features	Target
diabetes	Kaggle	769	ID: 1 Numeric: 8	diabetes 0: 65% 1: 35%
German Credit	UCI	1000	Numeric: 61	Class Good: 70% Bad:35%
HR	UCI	14999	Numeric: 7 Categorical: 2	left 0: 76% 1: 24%
Adult (1994 USA Census)	UCI	32561	Numeric: 6 Categorical: 8	high_salary 0:76% 1: 24%
Portugese Bank Marketing	UCI	4521	Numeric: 7 Categorical: 9	y no: 88% yes: 12%
European Credit Card	Przemyslaw Zientala	142403	Time: 1 Numeric: 29	Class 0: 99.8% 1: 0.2%
Marketing (Synthetic)	generate_data.ipynb	500	Numeric: 2	Bought 0: 50% 1: 50%
German Credit (Synthetic)	UCI	1000	Numeric: 48 Categorical: 8	BadCredit 0: 70% 1: 30%
ISLR Student Credit Default	ISLR	10000	ID: 1 Numeric: 2 Categorical: 1	default No: 97% Yes: 3%
Mall Customers	Kaggle	200	ID: 1 Numeric: 3 Categorical: 1	N/A
Groceries	Machine Learning with R	9835	Binary: 169	N/A
Orange Juice Purchase	ISLR	1070	ID: 1 Numeric: 17	Purchase CH: 61% MM: 39%
Groceries	Unknown	505	Numeric: 4	N/A