data mining Flashcards
1
Q
what is data mining
A
a
2
Q
How ml and dm different
A
a
3
Q
DM applications
A
4
Q
what is algo decision tree
A
5
Q
what is support vector algo
A
6
Q
how to know if a point a is support vector
A
7
Q
what is algo k nearest neighbours
A
8
Q
what is algo naive bayes
A
9
Q
what is algo k means clustering
A
10
Q
what is Algo hirarchical cluster
A
11
Q
Algo expected maxi
A
12
Q
what is apriori algo
A
13
Q
classification vs clustering
A
14
Q
what is emsemble learning algo
A
15
Q
Regression tree use cases
A
- An example tree which estimates the probability of kyphosis after spinal surgery, given the age of the patient and the vertebra at which surgery was started
- Let’s say you want to predict whether a person is fit given their information like age, eating habit, and physical activity, etc.
- are Outlook, Temperature, Humidity, Wind and the outcome variable is whether Golf was played on the day. Now, our job is to build a predictive model which takes in above 4 parameters and predicts whether Golf will be played on the day
18
Q
A
20
Q
Linear regression formula
A
21
Q
A
22
Q
A
