This repository contains the code for a machine learning project aimed at predicting asthma. The project utilizes various data augmentation, preprocessing, and machine learning techniques to analyze and predict asthma based on input data.
- Data augmentation in feature space on tabular data scripts to enhance the dataset for better model training.
- Data preprocessing for cleaning and preparing the dataset for model ingestion.
- Implementation of various machine learning models for the prediction of asthma.
Before you begin, ensure you have met the following requirements:
- Python 3.x
- pip package manager
To install Asthma_prediction_ML, follow these steps:
# Clone the repository
git clone https://github.com/nguyhu01/Asthma_prediction_ML.git
# Navigate to the project directory
cd Asthma_prediction_ML
# Install the required dependencies
pip install -r requirements.txt
To use Asthma_prediction_ML, follow these steps:
# Run the main script
python run.py
# To modify the parameters (optional)
python run.py --test_size={value} --random_state={value} --lr={value} --max_depth={value}
Python - The programming language used. Additional libraries and frameworks used.
Contributions to the Asthma_prediction_ML project are welcome. Please adhere to this project's code of conduct.
For the versions available, see the tags on this repository.
Huy Nguyen - Initial work - nguyhu01
This project is licensed under the MIT License - see the LICENSE.md file for details.