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diabetes-prediction's Introduction

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.

Screenshot

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.

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diabetes-prediction's Issues

NOT ABLE TO RUN APP.PY

model = pickle.load(open('model.pkl', 'rb'))
ModuleNotFoundError: No module named 'sklearn.svm.classes'

.

model = pickle.load(open('ml_project1\model.pkl', 'rb'))
ModuleNotFoundError: No module named 'sklearn.svm.classes'

I have using Python 3.9.7

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