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How you handle missing values ?

Data Preparation involves

letslearnai_01_02

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1
Data Preparation involves
Feature selection and transformation
Missing value treatment
All the above
Outlier detection
2
How you handle missing values ?
By predicting the missed value
By deleting that row
All of the above
By imputing with mean, median or mode
3
What is the metric to evaluate a model ?
False positives
It depends on the usecase/problem
Accuracy
True negatives
4
What are the four pillars of machine learning ?
Statistics
Calculus
Linear Algebra
Probability
5
As the algorithm complexity increases, its easy to interpret its results
True
False