Heart-Disease-Prediction | Various classification algorithms | Machine Learning library
kandi X-RAY | Heart-Disease-Prediction Summary
kandi X-RAY | Heart-Disease-Prediction Summary
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 Examples and Code Snippets
Community Discussions
Trending Discussions on Heart-Disease-Prediction
QUESTION
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 22:35I think the error occurs because prediction has just one row, and you have two column names:
QUESTION
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 10:30You have i=0.0
which means that i is a float. You cannot index a numpy aray with a float number.
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Install Heart-Disease-Prediction
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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