Normalize Data to Make It Appropriate for an Analysis with Pandas training

Data normalisation transforms our data to make it more tractable for downstream applications. This course will teach you the skills of data normalization in Pandas needed to make any dataset usable for machine learning.

What you'll learn

Regardless of your line of work, data is everywhere. Nowadays we generate more data per second than ever before; however this data is usually raw, dirty and frequently unusable.

In this course, Normalize Data to Make It Appropriate for an Analysis with Pandas, you’ll gain the ability to normalize your data however you need - both to create amazing visualizations as well as feed it into your AI models.

First, you’ll explore what normalization and scaling really are.

Next, you’ll discover some simple techniques like simple scaling or min-max scaling.

Finally, you’ll learn how to perform Z-score scaling which presents your data into a normal distribution.

When you’re finished with this course, you’ll have the skills and knowledge of data normalization needed to make any type of dataset usable.

Table of contents

Course Overview

Why Normalize?

• Introduction
• Getting the Best out of This Course
• Version Check
• What Will You Be Able to Do When Finishing This Course?
• Outline of the Course

Some Simple Normalization Techniques

• How Do We Normalize Our Data?
• Perform Simple Scaling on Pandas - Part 1
• Perform Simple Scaling on Pandas - Part 2
• Min-max Scaling
• Perform Min-max Scaling on Pandas
• Key Takeaways and Tips

Gaussian Normalization

• Recap of Gaussian Distribution
• Perform Gaussian Normalization with Pandas - Part 1
• Perform Gaussian Normalization with Pandas - Part 2
• Key Takeaways and Tips

contact us

email - [email protected]