diabetesprediction

diabetesprediction

niharikagulati

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.

10 Stars
17 Forks
10 Watchers
Jupyter Notebook Language
gpl-3.0 License
Cost to Build
$11.0K
Market Value
$11.6K

Growth over time

4 data points  ·  2021-08-06 → 2022-05-18
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about diabetesprediction

Question copied to clipboard

What is the niharikagulati/diabetesprediction GitHub project? Description: "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.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone diabetesprediction

Clone via HTTPS

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

Clone via SSH

[email protected]:niharikagulati/diabetesprediction.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the diabetesprediction issue tracker:

Open GitHub Issues