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A robust framework to predict diabetes based different independent attributes. Outlier rejection, filling the missing values, data standardization, K-fold validation, and different Machine Learning (ML) classifiers were used to create optimal model.Finally, optimal model was deployed on a PaaS .

Home Page: https://www.irjet.net/volume8-issue8

Jupyter Notebook 99.34% Python 0.48% HTML 0.17%
data-visualization data-processing machine-learning-algorithms flask html-css-javascript heroku-deployment outlier-detection missing-values zscore diabetes-prediction

diabetes-prediction's Introduction

Table of Contents

About the Project

This is built to predict probality of having diabetes using predefined paramter with the help of Machine Learning.
Objective of the project are :
    * To build an efficient model that can predict the probability of having Diabetes.
    * To visualize various independent variables like the number of pregnancies the patient has had, their BMI, insulin level, age, and dependent variable
    * To increase the model efficiency of the model with help of data processing and hyperparameter tuning.
    * To build a cloud-based user-friendly interface.

Publication link

Project work has been published in International Research Journal of Engineering and Technology (IRJET) Volume 8, Issue 8,  August 2021 
Refer to https://www.irjet.net/volume8-issue8 S.No: 82 for detailed explanations.

Getting Started

Clone the repo and extract it ....

Prerequisites

All the results reported in the project were produced using the following version Python and Python API:

    * python 3.7.6
    * numpy 1.18.1
    * pandas 1.0.1
    * matplotlib 3.1.3
    * seaborn 0.10.0
    * scikit-learn 0.22.1
    * xgboost 1.3.0post0
    * Keras 2.4.3 

Setup

1. Clone the repository 
```
git clone https://github.com/mayurraj876/Diabetes-Prediction.git
```
2. Install Python Libraries
```
pip install pandas,numpy,matplotlib,sklearn,xgboost,keras,flask

```

Contributers

* mayurraj876 
* manoj281998
* paurush0506

Contact

Name - Mayur Raj Singh Chouhan 
Email - [email protected]

Cloud interface Link: https://diabetes-prediction-rvce.herokuapp.com/

References

* flask
* sklearn 
* Stackoverflow

diabetes-prediction's People

Contributors

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diabetes-prediction's Issues

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