amazon_eac | Kaggle competition Amazon.com - Employee Access Challenge

by piokuc Python Version: Current License: No License

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

kandi X-RAY | amazon_eac Summary

amazon_eac is a Python library. amazon_eac has no bugs, it has no vulnerabilities and it has low support. However amazon_eac build file is not available. You can download it from GitHub.

Solution for the Kaggle competition "Amazon.com - Employee Access Challenge" based on code by Paul Duan and Miroslaw Horbal and ideas of Nick Kridler, Nitai Dean, Leustagos, BS Man, Dylan Friedmann and others. https://www.kaggle.com/c/amazon-employee-access-challenge

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License

Reuse

Support

amazon_eac has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of amazon_eac is current.

Quality

amazon_eac has no bugs reported.

Security

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

License

amazon_eac 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

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

amazon_eac has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed amazon_eac and discovered the below as its top functions. This is intended to give you an instant insight into amazon_eac implemented functionality, and help decide if they suit your requirements.

Logistic regression .
Load train and test data .
Group data by a degree
One hot encoder .
Performs greedy feature selection .
Optimizes hyperparameter
Reads a scores file .
Create test submission .
Cross validation loop .
Return the value of an object .

Get all kandi verified functions for this library.

amazon_eac Key Features

No Key Features are available at this moment for amazon_eac.

amazon_eac Examples and Code Snippets

No Code Snippets are available at this moment for amazon_eac.

Community Discussions

No Community Discussions are available at this moment for amazon_eac.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install amazon_eac

You can download it from GitHub.
You can use amazon_eac like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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