https://github.com/massimilianovisintainer/diabetics-prediction-model

Machine learning model for diabetes prediction.
https://github.com/massimilianovisintainer/diabetics-prediction-model

machine-learning numpy pandas python sklearn svm-classifier svm-model

Last synced: about 23 hours ago
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Machine learning model for diabetes prediction.

• Host: GitHub
• URL: https://github.com/massimilianovisintainer/diabetics-prediction-model
• Owner: MassimilianoVisintainer
• Created: 2024-07-24T16:07:31.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-07-24T16:13:39.000Z (2 months ago)
• Last Synced: 2024-09-23T06:32:44.086Z (5 days ago)
• Topics: machine-learning, numpy, pandas, python, sklearn, svm-classifier, svm-model
• Language: Python
• Homepage:
• Size: 11.7 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Diabetics-Prediction-Model

### Overview

This repository contains a Jupyter Notebook (`Diabete Predictions.ipynb`) utilizing machine learning to predict diabetes based on health factors.

### Functionality

* Imports necessary libraries.

* Loads and analyzes the diabetes dataset.

* Preprocesses data by standardizing features.

* Splits data into training and testing sets.

* Trains a Support Vector Machine (SVM) model.

* Evaluates model performance.

* Creates a prediction system for new data.

### Requirements

* Python 3.x

* pandas

* numpy

* scikit-learn

### How to Use

1. Clone this repository.

2. Install required libraries: `pip install pandas numpy scikit-learn`

3. Open `Diabete Predictions.ipynb` in Jupyter Notebook.

4. Replace sample input data (optional).

5. Run notebook cells to execute code and view results.