There are no null values in any of the variables.

if one variable appears the other definitely also does

There may or may not be null values in both variables

If one variable appears the other definitely does not

To increase model efficiency

To distort descriptive statistics

To identify data points that deviate significantly from the rest

To increase the variability in the dataset

Identifies unique categories in the categorical variable

Resets the index of the dataframe

Applies the encoding to the data

Creates binary vectors for each category

To eliminate categorical variables

To enable mathematical computations

To enhance model interpretability

To make data more complex

To enable mathematical computations

To reduce computational efficiency

To enhance model interpretability

To make data more complex

Outliers can lead to biased and less accurate models

Models become more accurate

Outliers reduce the noise in the data

Outliers do not affect machine learning models