Machine_Learning_A-Z | Repository contains tasks and exercises | Machine Learning library

by SkalskiP Python Version: Current License: No License

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

kandi X-RAY | Machine_Learning_A-Z Summary

Machine_Learning_A-Z is a Python library typically used in Artificial Intelligence, Machine Learning applications. Machine_Learning_A-Z has no bugs, it has no vulnerabilities and it has low support. However Machine_Learning_A-Z build file is not available. You can download it from GitHub.

Repository contains tasks and exercises made during Udemy course Machine Learning A-Z that I completed in 2017.

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Support

Machine_Learning_A-Z has a low active ecosystem.

It has 54 star(s) with 33 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

Machine_Learning_A-Z has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Machine_Learning_A-Z is current.

Quality

Machine_Learning_A-Z has no bugs reported.

Security

Machine_Learning_A-Z has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Machine_Learning_A-Z 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

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

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

Perform an apriori algorithm
Create a TransactionManager instance
Generate support records
Calculate the support for a set of items
Generate OrderedStatistic statistics

Get all kandi verified functions for this library.

Machine_Learning_A-Z Key Features

No Key Features are available at this moment for Machine_Learning_A-Z.

Machine_Learning_A-Z Examples and Code Snippets

No Code Snippets are available at this moment for Machine_Learning_A-Z.

Community Discussions

Trending Discussions on Machine_Learning_A-Z

I am not able to upload the github data link to Google Colab

Problem in Code " Could not convert string to float"

QUESTION

I am not able to upload the github data link to Google Colab

Asked 2019-Sep-28 at 20:11

what I am trying: url ='https://github.com/Anubhav1107/Machine_Learning_A-Z/blob/master/Part%202%20-%20Regression/Section%205%20-%20Multiple%20Linear%20Regression/50_Startups.csv'

...

ANSWER

Answered 2019-Sep-26 at 07:57

Use this instead.

Source https://stackoverflow.com/questions/58103624

QUESTION

Problem in Code " Could not convert string to float"

Asked 2019-Sep-28 at 20:03

I am learning the linear regression from a github link "https://github.com/Anubhav1107/Machine_Learning_A-Z/blob/master/Part%202%20-%20Regression/Section%205%20-%20Multiple%20Linear%20Regression/multiple_linear_regression.py"

but when I tried making it, this occurs:

...

ANSWER

Answered 2019-Sep-28 at 20:03

There is a reason why in How to create a Minimal, Reproducible Example we ask that:

Make sure all information necessary to reproduce the problem is included in the question itself

and not in some external file, parts of which you may or you may have not executed correctly.

I am saying this because I cannot reproduce your error; executing the relevant parts of the linked code works OK here:

Source https://stackoverflow.com/questions/58147761

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

Vulnerabilities

No vulnerabilities reported

Install Machine_Learning_A-Z

You can download it from GitHub.
You can use Machine_Learning_A-Z 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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