Normalize Data to Make It Appropriate for an Analysis with Pandas

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Axel Sirota

47:48

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1. Course Overview

1. Course Overview.mp4

02:03

2. Why Normalize

1. Introduction.mp4

02:42

2. Getting the Best out of This Course.mp4

02:10

3. Version Check.mp4

01:30

4. What Will You Be Able to Do When Finishing This Course.mp4

00:34

5. Outline of the Course.mp4

00:31

3. Some Simple Normalization Techniques

1. How Do We Normalize Our Data.mp4

03:53

2. Demo - Perform Simple Scaling on Pandas - Part 1.mp4

03:28

3. Demo - Perform Simple Scaling on Pandas - Part 2.mp4

06:54

4. Min-max Scaling.mp4

02:15

5. Demo - Perform Min-max Scaling on Pandas.mp4

06:42

6. Key Takeaways and Tips.mp4

01:08

4. Gaussian Normalization

1. Recap of Gaussian Distribution.mp4

02:49

2. Demo - Perform Gaussian Normalization with Pandas - Part 1.mp4

03:49

3. Demo - Perform Gaussian Normalization with Pandas - Part 2.mp4

05:18

4. Key Takeaways and Tips.mp4

02:02

Description

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.

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Python

Data Science

Data Analysis

Pandas

Axel Sirota

Instructor's Courses

Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.