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