data mining Flashcards
1
Q
what is data mining
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a
2
Q
How ml and dm different
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a
3
Q
DM applications
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4
Q
what is algo decision tree
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5
Q
what is support vector algo
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6
Q
how to know if a point a is support vector
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7
Q
what is algo k nearest neighbours
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8
Q
what is algo naive bayes
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9
Q
what is algo k means clustering
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10
Q
what is Algo hirarchical cluster
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11
Q
Algo expected maxi
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12
Q
what is apriori algo
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13
Q
classification vs clustering
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14
Q
what is emsemble learning algo
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15
Q
Regression tree use cases
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- 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
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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
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- 2) Charting Evolution through Phylogenetic Trees
20
Q
Linear regression formula
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21
Q
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22
Q
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