Image Data
132 🏗️ Shifting, Flipping, and Rotation

Feature Engineering A-Z

Preface
Introduction
Numeric Features
Categorical Features
Datetime Features
Missing Data
Text Features
Circular Features
Too Many Variables
Correlated Data
- 79 Correlated Overview
- 80 High Correlation Filter
Outliers
Imbalanced Data
Miscellaneous
Spatial
Time-Series Data
Image Data
Ralational Data
Video Data
- 138 Video Overview
- 139 🏗️ Temporary
Sound Data
- 140 Sound Overview
- 141 🏗️ Temporary
142 🏗️ Order of transformations
143 🏗️ What should you do if you have sparse data?
144 🏗️ How Different Models Deal With Input
145 🏗️ Summary
References

Table of contents

132.1 Shifting, Flipping, and Rotation
132.2 Pros and Cons
- 132.2.1 Pros
- 132.2.2 Cons
132.3 R Examples
132.4 Python Examples

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Image Data
132 🏗️ Shifting, Flipping, and Rotation

132 🏗️ Shifting, Flipping, and Rotation

132.1 Shifting, Flipping, and Rotation

WIP

132.2 Pros and Cons

132.2.1 Pros

132.2.2 Cons

132.3 R Examples

132.4 Python Examples

131 🏗️ Changing Brightness

133 🏗️ Cropping and Scaling' class='pagination-link' href='/image-crop-scale'> 133 🏗️ Cropping and Scaling

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