Machine Learning model to predict the condition of the car engine.

Machine learning model was trained on a 20,000 rows and 7 columns dataset to predict the health of car engines using various algorithm like KNN, SVM, XBoost Classifer and Random Forest

Model Deployment: https://huggingface.co/spaces/Kabil007/EngineHealth.care

Requirements

• scikit-learn
• streamlit

Installation

1. Clone the repository

  git clone https://github.com/Kabilduke/EngineHealth.care.git
  cd

3. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

5. Install the required packages:

   pip install requirements.txt

7. Run the streamlit app:

   streamlit run app.py

Contribution

Contributions are welcome! Feel free to open an issue or submit a pull request for any changes or improvements.