FRESCO-RETAIL | transaction data to predict return decision

by ChandrimaThakur Jupyter Notebook Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | FRESCO-RETAIL Summary

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

The data analyses Fresco Retail’s customer's transaction data to predict return decision using various data points like customer background, payment modes, store types, product nature, etc.To study the influence of different transaction data points and their impact on a customer’s final decision to return the products bought in a transaction.

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Quality

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Support

FRESCO-RETAIL 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.

FRESCO-RETAIL has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FRESCO-RETAIL is current.

Quality

FRESCO-RETAIL has no bugs reported.

Security

FRESCO-RETAIL has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

FRESCO-RETAIL 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

FRESCO-RETAIL releases are not available. You will need to build from source code and install.

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FRESCO-RETAIL Key Features

No Key Features are available at this moment for FRESCO-RETAIL.

FRESCO-RETAIL Examples and Code Snippets

No Code Snippets are available at this moment for FRESCO-RETAIL.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install FRESCO-RETAIL

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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