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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

## Square root transformation

$$f(x) = \sqrt{x}$$

# Square root transformation

$$f(x) = \sqrt{x}$$

Square root transformation is a technique that can be used only on positive numbers. We will be talking about this transformation during this lesson. We will also see its formula and a code snippet to use in our dataset.


Square root transformation

Square root transformation is a technique that can be used only on positive numbers. We will be talking about this transformation during this lesson. We will also see its formula and a code snippet to use in our dataset.

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

Square root transformation

Square root transformation