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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

## Logarithmic transformation

$$f(x) = ln(x)$$

# Logarithmic transformation

$$f(x) = ln(x)$$

In this lesson, we will explore the most straightforward and most popular transformation technique called logarithmic transformation, its formula, and a sample code to use this transformation.


Logarithmic transformation

In this lesson, we will explore the most straightforward and most popular transformation technique called logarithmic transformation, its formula, and a sample code to use this transformation.

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

Logarithmic transformation

Logarithmic transformation