Classification_Clasterization | data preparation carried out , a model

by Gradov270 Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Classification_Clasterization Summary

Classification_Clasterization is a Jupyter Notebook library. Classification_Clasterization has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

In this project, data preparation was carried out, a model was trained to classify users after leaving the company. The model with the greatest predictive power is logistic regression. Also, clustering of users was applied to the original dataframe. The optimal number of clusters is 5, the numbers of clusters whose users are inclined to leave the company are determined.

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Classification_Clasterization has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Classification_Clasterization has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Classification_Clasterization is current.

Quality

Classification_Clasterization has no bugs reported.

Security

Classification_Clasterization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Classification_Clasterization does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Classification_Clasterization releases are not available. You will need to build from source code and install.

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Classification_Clasterization Key Features

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Classification_Clasterization Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install Classification_Clasterization

You can download it from GitHub.

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