machine-learning-projects | Machine learning is the subfield of computer | Machine Learning library

by mehul-m-prajapati Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | machine-learning-projects Summary

machine-learning-projects is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Numpy applications. machine-learning-projects has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However machine-learning-projects build file is not available. You can download it from GitHub.

Machine learning is the subfield of computer science that, according to Arthur Samuel, gives "computers the ability to learn without being explicitly programmed.

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machine-learning-projects has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of machine-learning-projects is current.

Quality

machine-learning-projects has no bugs reported.

Security

machine-learning-projects has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

machine-learning-projects is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

machine-learning-projects releases are not available. You will need to build from source code and install.

machine-learning-projects has no build file. You will be need to create the build yourself to build the component from source.

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machine-learning-projects Key Features

No Key Features are available at this moment for machine-learning-projects.

machine-learning-projects Examples and Code Snippets

No Code Snippets are available at this moment for machine-learning-projects.

Community Discussions

Trending Discussions on machine-learning-projects

Setting up lintr with CI

'DataFrame' object has no attribute 'to_frame'

QUESTION

Setting up lintr with CI

Asked 2020-May-23 at 18:14

I've been unsucessfully trying to setup lintr package with GitHub actions (circleCi would be good too, since it's a private repo) to check PR and pushes.

My project is a book so i don't need package build checks, but only enforcing style since there are serveral authors.

I've read this readme and this article but i couldn't figure out what should a .yml file look like is this case.

...

ANSWER

Answered 2020-May-23 at 18:14

Figured that out. Still need to cache lintr but at least it is working:

Source https://stackoverflow.com/questions/61969011

QUESTION

'DataFrame' object has no attribute 'to_frame'

Asked 2018-Mar-30 at 00:50

I am new to python. Just following the tutorial: https://www.hackerearth.com/practice/machine-learning/machine-learning-projects/python-project/tutorial/

This is the dataframe miss:

...

ANSWER

Answered 2018-Mar-30 at 00:50

Check print(type(miss)) it should be

You have is dataframe, somewhere in the code you are doing wrong.

Source https://stackoverflow.com/questions/49566862

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

Vulnerabilities

No vulnerabilities reported

Install machine-learning-projects

You can download it from GitHub.
You can use machine-learning-projects 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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