Heart-Disease-Prediction | Various classification algorithms | Machine Learning library

 by   ShubhankarRawat Python Version: Current License: No License

kandi X-RAY | Heart-Disease-Prediction Summary

kandi X-RAY | Heart-Disease-Prediction Summary

Heart-Disease-Prediction is a Python library typically used in Healthcare, Pharma, Life Sciences, Artificial Intelligence, Machine Learning applications. Heart-Disease-Prediction has no bugs, it has no vulnerabilities and it has low support. However Heart-Disease-Prediction build file is not available. You can download it from GitHub.

Heart diseases is a term covering any disorder of the heart. Heart diseases have become a major concern to deal with as studies show that the number of deaths due to heart diseases have increased significantly over the past few decades in India, in fact it has become the leading cause of death in India. A study shows that from 1990 to 2016 the death rate due to heart diseases have increased around 34 per cent from 155.7 to 209.1 deaths per one lakh population in India. Thus preventing Heart diseases has become more than necessary. Good data-driven systems for predicting heart diseases can improve the entire research and prevention process, making sure that more people can live healthy lives. This is where Machine Learning comes into play. Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate. A dataset is formed by taking into consideration some of the information of 779 individuals. The problem is : based on the given information about each individual we have to calculate that whether that individual will suffer from heart disease.
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              Heart-Disease-Prediction has a low active ecosystem.
              It has 73 star(s) with 102 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 166 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Heart-Disease-Prediction is current.

            kandi-Quality Quality

              Heart-Disease-Prediction has no bugs reported.

            kandi-Security Security

              Heart-Disease-Prediction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Heart-Disease-Prediction 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.

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              Heart-Disease-Prediction releases are not available. You will need to build from source code and install.
              Heart-Disease-Prediction has no build file. You will be need to create the build yourself to build the component from source.

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            Heart-Disease-Prediction Key Features

            No Key Features are available at this moment for Heart-Disease-Prediction.

            Heart-Disease-Prediction Examples and Code Snippets

            No Code Snippets are available at this moment for Heart-Disease-Prediction.

            Community Discussions

            QUESTION

            Enormous and weird error in scikit-learn in Python Logistic Regression?
            Asked 2020-Mar-06 at 22:35

            Below operations concern Logistic Regression in Python scikit-learn

            I give you the most important sample of the code:

            ...

            ANSWER

            Answered 2020-Mar-06 at 22:35

            I think the error occurs because prediction has just one row, and you have two column names:

            Source https://stackoverflow.com/questions/60572293

            QUESTION

            "How to fix: 'only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices'?
            Asked 2019-Jun-15 at 10:30

            I'm trying to predict heart disease of patients using liner regression algorithm in machine learning and I have this error(only integers, slices (:), ellipsis (...), numpy.newaxis (None) and integer or boolean arrays are valid indices) can anyone please help me to solve it?

            ...

            ANSWER

            Answered 2019-Jun-15 at 10:30

            You have i=0.0 which means that i is a float. You cannot index a numpy aray with a float number.

            Source https://stackoverflow.com/questions/56604421

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

            Vulnerabilities

            No vulnerabilities reported

            Install Heart-Disease-Prediction

            You can download it from GitHub.
            You can use Heart-Disease-Prediction 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.

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            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/ShubhankarRawat/Heart-Disease-Prediction.git

          • CLI

            gh repo clone ShubhankarRawat/Heart-Disease-Prediction

          • sshUrl

            git@github.com:ShubhankarRawat/Heart-Disease-Prediction.git

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