Diabetes-classification

How to Run the Project Locally

You don't need to be a developer to try this project! Follow these simple steps:

1. Prerequisites

• Python: Make sure you have Python installed. You can download it from python.org.
• Git (optional): If you want to clone the project using Git. Download it from git-scm.com.

2. Download the Project

You have two options:

• Option 1: Download ZIP
  1. Click the green Code button at the top right of the repository page.
  2. Select Download ZIP and extract the files to a folder on your computer.
• Option 2: Clone with Git
  1. Open your terminal or command prompt.
  2. Run:

     git clone https://github.com/vinh2155/Diabetes-classification.git
     

3. Open a Terminal in the Project Folder

• Navigate to the folder where you extracted or cloned the project.

4. Install Required Packages

You'll need some Python packages. Install them using pip:

pip install -r requirements.txt

If there is no requirements.txt, you might need to install these packages manually:

pip install numpy pandas scikit-learn matplotlib

5. Run the Project

• If there's a main script (for example, main.py, knn.py, or notebook.ipynb), run it:
  • For .py files:

    python knn.py
    

  • For Jupyter Notebook files (.ipynb):
    1. Install Jupyter if you don't have it:

       pip install notebook
       

    2. Start Jupyter:

       jupyter notebook
       

    3. Open the notebook file in your browser.

6. View Results

• Follow any instructions printed in the terminal or inside the notebook.
• The script should output results or display plots about diabetes classification.

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Why did I do this project?

I did this project to test out a new model K-Nearest Neighbors (KNN) and use the cross validation evaluation method. I also learned how to replace missing values, to interpret data using a confusion matrix, to analyze informations using correlation functions.

Need help?
If you get stuck, please open an issue in this repository or ask for help!