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
16
Q
Support vector machine classification
A
All of these use labeled data
- Company wants to automate the loan eligibility process (real-time) based on customer details provided while filling an online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others
- In an image cancer or not cancer
- Face or not face in an image
17
Q
KKN use cases
A
Uses labels
- Classify an startup as high return , moderate or low return
- Clasiffy patients quick recovery, medium recovery and slow recovery
18
Q
A
19
Q
Use cases hirarchical clustering
A
- 2) Charting Evolution through Phylogenetic Trees
20
Q
Linear regression formula
A
21
Q
A
22
Q
A
