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+## Diabetes Predictor
+> 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.
+
+
+> Read more about it in my [Blogpost](https://medium.com/@adityamankar09/building-a-diabetes-predictor-4702b99bc7e4).
+
+# **Screenshot**
+
+![](screenshot.jpg)
+
+# Installation
+
+- Clone this repository and unzip it.
+
+- After downloading, `cd` into the `flask` directory.
+
+- Begin a new virtual environment with Python 3 and activate it.
+
+- Install the required packages using 
+   `pip install -r requirements.txt`
+
+- Execute the command:
+   `python app.py`
+
+- Open http://127.0.0.1:5000/ in your browser.