Investor Classifiers in Python – Part 1 – Felix

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Investor Classifiers in Python - Part 1

Understand the business case you’re going to model. Perform more advanced data exploration and visualization, and engineer features based on conditional relationships between existing features.

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20 Lessons (30m)

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1. Investor Classifiers Part 1 Learning Objectives

00:21
2. Overview of the Business Case

04:08
3. Importing Data Workout

00:40
4. Metadata

01:46
5. Metadata Workout

00:28
6. One Error Workout

01:18
7. Countplot of Investors Workout

00:56
8. Exploring Relationships

05:03
9. Exploring Relationships Workout

00:55
10. Reviewing Your Results

01:21
11. Feature Engineering

01:48
12. Feature Engineering Workout 1

02:40
13. Reviewing Tier Change

01:15
14. Controlling for Demotions

00:47
15. Feature Engineering Workout 2

00:55
16. Analyzing Goldman Sachs

00:42
17. fee_percent and invite_perfect Workout

00:38
18. lmplot

02:07
19. lmplot Workout

00:54
20. Investor Classifier in Python 1 Review

00:54

Prev: Classification Algorithms Next: Investor Classifiers in Python - Part 2

Countplot of Investors Workout

Notes
Questions

00:56

Practice using the Seaborn countplot function to visualize the number of observations in various categories within a dataset.

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Glossary

Countplot Machine Learning Python Seaborn

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