diabetesprediction

analytics

Using Pima Indians diabetes data set to predict whether a patient has diabetes or not based upon patient’s lab test result variables like Glucose, Blood Pressure, etc. using CART decision tree algorithm and K-Nearest Model achieving 76% accuracy. Python-Scikit Learn, SciPy, Pandas, MatPlotLib.

How to download and setup diabetesprediction

Open terminal and run command

git clone https://github.com/niharikagulati/diabetesprediction.git

git clone is used to create a copy or clone of diabetesprediction repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with diabetesprediction https://github.com/niharikagulati/diabetesprediction/archive/master.zip

Or simply clone diabetesprediction with SSH

[email protected]:niharikagulati/diabetesprediction.git

If you have some problems with diabetesprediction

You may open issue on diabetesprediction support forum (system) here: https://github.com/niharikagulati/diabetesprediction/issues

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