1.) How you can detect if outlier is present in your data ?
a.) Skweness
b ) kdeplot
c.) boxplot
d.) All of above
2.) What are types of feature scaling?
a.) Minmax scaler , standard scaler
b.) robust scaler
c. ) Both a and b
d.) None
3.) When outliers are present in the data, then to deal with missing value which imputation technique you should use ?
a.) Mean imputation
b.) median imputation
c.) mode imputation
d.) None