Udacity-Machine-Learning-101

 by   priya-dwivedi Python Version: Current License: No License

kandi X-RAY | Udacity-Machine-Learning-101 Summary

kandi X-RAY | Udacity-Machine-Learning-101 Summary

Udacity-Machine-Learning-101 is a Python library. Udacity-Machine-Learning-101 has no bugs, it has no vulnerabilities and it has low support. However Udacity-Machine-Learning-101 build file is not available. You can download it from GitHub.

Udacity-Machine-Learning-101
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            kandi-support Support

              Udacity-Machine-Learning-101 has a low active ecosystem.
              It has 12 star(s) with 22 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Udacity-Machine-Learning-101 has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Udacity-Machine-Learning-101 is current.

            kandi-Quality Quality

              Udacity-Machine-Learning-101 has 0 bugs and 0 code smells.

            kandi-Security Security

              Udacity-Machine-Learning-101 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Udacity-Machine-Learning-101 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Udacity-Machine-Learning-101 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Udacity-Machine-Learning-101 releases are not available. You will need to build from source code and install.
              Udacity-Machine-Learning-101 has no build file. You will be need to create the build yourself to build the component from source.
              Udacity-Machine-Learning-101 saves you 519 person hours of effort in developing the same functionality from scratch.
              It has 1218 lines of code, 26 functions and 28 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Udacity-Machine-Learning-101 and discovered the below as its top functions. This is intended to give you an instant insight into Udacity-Machine-Learning-101 implemented functionality, and help decide if they suit your requirements.
            • Fetch LFW people .
            • Returns a list of polyn email addresses
            • Format a dictionary of features .
            • Load images from jpeg files .
            • Preprocess a corpus .
            • Check if the lfw directory exists
            • Fetch all people from a folder
            • Parses out text from a text file .
            • Make a toy dataset .
            • Plots the prediction of the class .
            Get all kandi verified functions for this library.

            Udacity-Machine-Learning-101 Key Features

            No Key Features are available at this moment for Udacity-Machine-Learning-101.

            Udacity-Machine-Learning-101 Examples and Code Snippets

            No Code Snippets are available at this moment for Udacity-Machine-Learning-101.

            Community Discussions

            No Community Discussions are available at this moment for Udacity-Machine-Learning-101.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install Udacity-Machine-Learning-101

            You can download it from GitHub.
            You can use Udacity-Machine-Learning-101 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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            https://github.com/priya-dwivedi/Udacity-Machine-Learning-101.git

          • CLI

            gh repo clone priya-dwivedi/Udacity-Machine-Learning-101

          • sshUrl

            git@github.com:priya-dwivedi/Udacity-Machine-Learning-101.git

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