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.
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.
Clone the repo and extract it ....
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
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
```
* mayurraj876
* manoj281998
* paurush0506
Name - Mayur Raj Singh Chouhan
Email - mayurrajsinghc.ec17@rvce.edu.in
Cloud interface Link: https://diabetes-prediction-rvce.herokuapp.com/
* flask
* sklearn
* Stackoverflow