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https://github.com/dostonshernazarov/diabetes_models

This repository projects for diabetes prediction using classical machine learning utilizing tools like Numpy, Pandas.
https://github.com/dostonshernazarov/diabetes_models

deel-learning machine-learning python

Last synced: 3 months ago
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This repository projects for diabetes prediction using classical machine learning utilizing tools like Numpy, Pandas.

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# Machine Learning and Deep Learning Projects

## Overview
This repository contains various machine learning and deep learning projects. This project aims to predict diabetes based on various health indicators.

## Project Structure
- **Diabetes.ipynb/**: This file contains a project to predict diabetes using classical machine learning techniques.

## Diabetes

### Overview
This project aims to predict diabetes based on various health indicators. The project uses the following tools and libraries:
- **Numpy**: For numerical computations.
- **Pandas**: For data manipulation and analysis.
- **Matplotlib**: For data visualization.
- **KNeighborsClassifier**: For the initial machine learning model.
- **Cross-validation**: For improving the model's accuracy.

### Steps
1. **Data Preprocessing**:
- Load the dataset using Pandas.
- Clean and preprocess the data.
- Visualize the data using Matplotlib.

2. **Model Training**:
- Train a KNeighborsClassifier model.
- Achieve an initial accuracy of 0.68.

3. **Model Improvement**:
- Apply cross-validation to the model.
- Improve the accuracy to 0.77.

### Steps
1. Clone the repository:
```bash
git clone https://github.com/dostonshernazarov/Diabetes_models.git
cd Diabetes_models
```

2. Navigate to the project directory and run the Jupyter notebooks:
```bash
jupyter notebook
```