## Diabetes Predictor

> Predict Diabetes using Machine Learning.

Predict Diabetes using Machine Learning.

In this project, our objective is to predict whether the patient has diabetes or not based on various features like *Glucose level, Insulin, Age, BMI*. We will perform all the steps from *Data gathering to Model deployment.* During Model evaluation, we compare various machine learning algorithms on the basis of accuracy_score metric and find the best one. Then we create a web app using Flask which is a python micro framework.

In this project, our objective is to predict whether the patient has diabetes or not based on various features like *Glucose level, Insulin, Age, BMI*. We will perform all the steps from *Data gathering to Model deployment.* During Model evaluation, we compare various machine learning algorithms on the basis of accuracy_score metric and find the best one. Then we create a web app using Flask which is a python micro framework.

> Read more about it in my [Blogpost](https://medium.com/@adityamankar09/building-a-diabetes-predictor-4702b99bc7e4).

Read more about it in my [Blogpost](https://medium.com/@adityamankar09/building-a-diabetes-predictor-4702b99bc7e4).

# Installation

# Installation

- Clone this repository and unzip it.

- Clone this repository and unzip it.

- After downloading, `cd` into the `flask` directory.

- After downloading, `cd` into the `flask` directory.

- Begin a new virtual environment with Python 3 and activate it.

- Begin a new virtual environment with Python 3 and activate it.

- Install the required packages using 

- Install the required packages using 

   `pip install -r requirements.txt`

   `pip install -r requirements.txt`

- Execute the command:

- Execute the command:

   `python app.py`

   `python app.py`

- Open http://127.0.0.1:5000/ in your browser.

- Open http://127.0.0.1:5000/ in your browser.