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Numerical Variables

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In this course, you will learn how to apply basic and more advanced feature engineering to tabular data with python, during this course,  we will see a range of different techniques and methods to handle many common cases within the data set, so in result, you will create great features so that your machine learning models can predict good results.

Feature Engineering with Python

## Definition
Missing category imputation is treating missing data as another label or category of the variable. Accordingly, we create a new label or category by filling the missing values with the “Missing” category.

> This method is the most preferred and widely used missing data imputation for categorical variables.

The following figure will give you a better illustration of missing category imputation:


# Definition
Missing category imputation is treating missing data as another label or category of the variable. Accordingly, we create a new label or category by filling the missing values with the “Missing” category.

> This method is the most preferred and widely used missing data imputation for categorical variables.

The following figure will give you a better illustration of missing category imputation:


In this lesson, we will talk about an imputation technique used for categorical variables called missing category imputation, its advantages and limitations, and a few lines of code to help you implement this method.


Missing category imputation

In this lesson, we will talk about an imputation technique used for categorical variables called missing category imputation, its advantages and limitations, and a few lines of code to help you implement this method.

Introduction

Variable Types

Common Concerns in Datasets

Handling & Imputing Missing Values

Encoding Categorical Variables

Transforming Variables

Variable Discretization

Handling Outliers

Feature Scaling

Engineering Geospatial Data

Handling Date-Time and Mixed Variables

Resampling Imbalanced Data

Advanced Feature Engineering Techniques

Conclusion

Missing category imputation

Definition