Data Cleaning and Exploration in Python – Felix

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Data Cleaning and Exploration in Python

Learn how to identify and correct errors in categorical variables, eliminate sparse classes, and visualize distributions. Remove unwanted observations, identify and eliminate null values in a dataset.

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24 Lessons (33m)

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1. Data Cleaning Learning Objectives

00:30
2. The Machine Learning Process

02:02
3. Matplotlib and Seaborn

00:45
4. Errors in Stock Data Dataset

01:24
5. Matplotlib and Seaborn Workout

01:46
6. Countplot

01:21
7. Countplot Workout

01:57
8. Replace and Sparse Classes

03:01
9. Replace Workout

01:55
10. Sparse Classes Workout

02:14
11. Spotting Outliers

01:08
12. Spotting Outliers Workout 1

01:31
13. Spotting Outliers Workout 2

01:23
14. Spotting Outliers Workout 3

01:15
15. Spotting Outliers Workout 4

01:38
16. Summary Statistics Workout

00:47
17. NaN Object

02:10
18. NaN Object Workout

01:02
19. Dropping Null Values

00:32
20. Dropping Null Values Workout

00:45
21. Box Plots

00:52
22. Box Plots Workout

01:17
23. Saving Your Data Frame

00:52
24. Data Cleaning and Exploration Review

00:31

Next: Regression Algorithms in Python

Countplot

Notes
Questions

01:21

How to use the Seaborn countplot function to visualize the distribution of observations across different categories.

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Glossary

Countplot Machine Learning Python

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Further Help

Felix How to Guide walks you through the key functions and tools of the learning platform.
Playlists & Tryouts: Playlists are a collection of videos that teach you a specific skill and are tested with a tryout at the end. A tryout is a quiz that tests your knowledge and understanding of what you have just learned.
Exam: If you are collecting CPE points you must pass the relevant CPE exam within 1 year to receive credits.
Glossary: A glossary can be found below each video and provides definitions and explanations for terms and concepts. They are organized alphabetically to make it easy for you to find the term you need.
Search function: Use the Felix search function on the homepage to find content related to what you want to learn. Find related video content, lessons, and questions people have asked on the topic.
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Questions: If you have questions about the course content, you will find a section called Ask a Question underneath each video where you can submit questions to our expert instructor team.