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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

## Time Variables
Just like the date variable, if you have time variables in your dataset, you can extract many significant features, to name a few:
- Seconds.
- Minutes.
- Hours.
- Unix Timestamp.
- Business hours (open or closed).

You can also indicate time differences in different formats. For example, the time difference between a first payment and a second payment can be denoted in hours, minutes, and seconds.
Run the following code snippet to extract some features from the time variable:

# Time Variables
Just like the date variable, if you have time variables in your dataset, you can extract many significant features, to name a few:
- Seconds.
- Minutes.
- Hours.
- Unix Timestamp.
- Business hours (open or closed).

You can also indicate time differences in different formats. For example, the time difference between a first payment and a second payment can be denoted in hours, minutes, and seconds.
Run the following code snippet to extract some features from the time variable:

In this lesson, we will talk about a range of essential features we can derive from time variables and how to extract them using a sample python code.


Time variables

In this lesson, we will talk about a range of essential features we can derive from time variables and how to extract them using a sample python code.

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

Time variables

Time Variables