https://github.com/nameisparker/diabetes_predictor
https://github.com/nameisparker/diabetes_predictor
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/nameisparker/diabetes_predictor
- Owner: Nameisparker
- Created: 2024-08-25T17:15:20.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-25T17:25:27.000Z (10 months ago)
- Last Synced: 2025-01-14T11:58:18.630Z (5 months ago)
- Language: Jupyter Notebook
- Size: 39.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
End-to-End Diabetes Prediction Application using Machine Learning
In this project, the objective is to predict whether the person has Diabetes or not based on various features such as
Pregnancies
Insulin Level
Age
BMI.The data set that has used in this project has taken from the kaggle . "This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage." and used a simple random forest classifier.
Motivation
The motivation was to experiment with end to end machine learning project and get some idea about deployment platform like Heroku and offcourse this " Diabetes is an increasingly growing health issue due to our inactive lifestyle. If it is detected in time then through proper medical treatment, adverse effects can be prevented. To help in early detection, technology can be used very reliably and efficiently. Using machine learning we have built a predictive model that can predict whether the patient is diabetes positive or not.". This is also sort of fun to work on a project like this which could be beneficial for the society.
Learning Objective
The following points were the objective of the project . If you are looking for all the following points in this repo then i have not covered all in this repo. I'm working on blog about this mini project and I'll update the link of blog about all the points in details later . (The main intention was to create an end-to-end ML project.)
Data gathering
Descriptive Analysis
Data Visualizations
Data Preprocessing
Data Modelling
Model Evaluation
Model Deployment
Technical Aspect
Training a machine learning model using scikit-learn.
Building and hosting a Flask web app on Heroku.
A user has to put details like Number of Pregnancies, Insulin Level, Age, BMI etc .
Once it get all the fields information , the prediction is displayed on a new page .
Technologies Used
Bug / Feature Request
If you find a bug (the website couldn't handle the query and / or gave undesired results), kindly open an issue here by including your search query and the expected result.
If you'd like to request a new function, feel free to do so by opening an issue here. Please include sample queries and their corresponding results.
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