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Select all the approaches which can be used for dealing with missing values while cleaning the data
Drop the rows which contain missing values
Drop the entire column which has missing values
Replace missing values with the interquartile range
Replace missing values with the standard deviation
Replace missing values with the median
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1 Analytics - Probability and Statistics
2 Data Visualization, Data Cleaning and Feature Scaling
3 Probability - Two Sundays in a Week
4 Probability - Getting Head in the Fair Coin Toss
5 Probability of an Event
6 Mode - Question 1
7 Mode - Question 2
8 Box Plot - Minimum Value
9 Box Plot - Maximum Value
10 Box Plot - Median Value or Quartile Q2
11 Box Plot - Quartile Q1
12 Box Plot - Quartile Q3
13 Box Plot - Interquartile Range
14 Measures of Central Tendency
15 Variance
16 Normal Distribution
17 Correlation
18 Correlation Coefficient
19 Data Cleaning
20 Feature Scaling
21 Standardization
22 Min-max Scaling
23 Min-max Vs Standardization
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There are 11 new comments.