This project focuses on predicting the likelihood of a person having diabetes based on various health-related attributes. It utilizes the Random Forest classification algorithm to make predictions and provides a user-friendly interface for input and prediction.
- Open the provided Jupyter Notebook in Google Colab.
- Ensure you have the required dependencies installed within your Colab environment.
- Execute the notebook cells in sequence, following the step-by-step instructions.
- Use the interactive interface to input your health attributes and obtain a diabetes prediction.
- numpy
- pandas
- sklearn
- matplotlib
- seaborn
Feel free to contribute, provide feedback, or report issues related to this project.