Cleanup exercies in Sec 4.6 notebook

datasets/README.md

@@ -93,6 +93,30 @@ TODO: move detailed info to `students.md`
 
 
 
+
+## Datasets used in exercises
+
+
+### Asthma
+- Dataset: [`exercises/asthma.csv`](./exercises/asthma.csv)
+
+
+### Admissions (binary decision)
+
+- Dataset: [`exercises/binary.csv`](./exercises/binary.csv)
+
+### Honors class
+
+- Dataset: [`exercises/honors.csv`](./exercises/honors.csv)
+
+
+### Titanic
+
+- Dataset: [`exercises/titanic.csv`](./exercises/titanic.csv)
+
+
+
+
 ## Real-world datasets
 
 ### Lalonde

datasets/exercises/asthma.csv

@@ -0,0 +1,121 @@
+"gender","res_inf","ghq12","attack"
+"female","yes",21,6
+"male","no",17,4
+"male","yes",30,8
+"female","yes",22,5
+"male","yes",27,2
+"male","yes",33,3
+"female","yes",24,2
+"female","yes",23,1
+"female","yes",25,2
+"male","no",28,2
+"male","yes",14,4
+"male","yes",20,4
+"female","yes",24,3
+"male","yes",5,0
+"male","yes",32,2
+"female","yes",17,2
+"female","yes",26,4
+"male","yes",0,1
+"female","yes",19,5
+"male","no",0,0
+"female","no",1,2
+"female","yes",6,1
+"female","yes",22,5
+"male","yes",24,3
+"female","no",21,4
+"female","no",13,1
+"female","no",7,0
+"female","yes",29,1
+"female","yes",23,7
+"female","no",7,0
+"female","no",0,0
+"male","yes",26,3
+"male","no",8,0
+"female","yes",3,3
+"male","no",9,0
+"male","yes",28,3
+"male","no",15,2
+"female","yes",26,9
+"female","yes",19,5
+"male","yes",10,1
+"male","no",9,0
+"female","no",1,2
+"female","yes",20,2
+"female","no",4,1
+"male","no",2,0
+"female","yes",30,4
+"female","yes",25,4
+"male","no",8,1
+"female","yes",26,6
+"female","no",10,0
+"female","yes",22,3
+"female","yes",21,1
+"male","yes",19,3
+"male","yes",23,5
+"female","no",6,1
+"male","no",26,4
+"female","yes",24,3
+"female","no",29,1
+"male","no",4,0
+"male","yes",24,5
+"male","no",5,1
+"male","yes",23,1
+"female","yes",18,4
+"male","no",1,0
+"male","yes",6,0
+"female","no",30,5
+"female","no",13,1
+"female","yes",25,3
+"female","yes",22,5
+"male","no",8,3
+"female","no",9,0
+"male","yes",5,2
+"female","no",16,0
+"male","no",12,1
+"female","yes",30,6
+"female","yes",31,6
+"male","yes",25,5
+"male","no",5,2
+"female","yes",27,5
+"female","no",11,0
+"male","no",5,2
+"male","yes",26,3
+"female","no",7,0
+"male","no",1,0
+"male","yes",10,0
+"female","yes",21,5
+"male","yes",16,6
+"male","no",23,4
+"female","no",32,4
+"female","yes",28,3
+"male","no",12,0
+"male","no",6,0
+"male","yes",10,1
+"female","yes",20,3
+"male","no",1,3
+"female","no",7,0
+"male","yes",23,5
+"female","yes",20,3
+"female","no",7,0
+"male","yes",25,3
+"female","yes",28,4
+"male","no",8,1
+"female","no",19,6
+"female","yes",28,3
+"male","no",13,2
+"male","no",1,0
+"female","no",21,3
+"female","yes",4,1
+"female","yes",22,4
+"male","no",1,1
+"female","yes",15,2
+"female","no",27,3
+"female","yes",28,2
+"female","no",4,0
+"male","no",2,1
+"male","yes",0,2
+"female","yes",31,2
+"female","yes",18,2
+"female","yes",21,3
+"female","yes",11,2