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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

Model ShowCase:

Requirements

  • scikit-learn
  • streamlit

Installation

  1. Clone the repository
  git clone https://github.com/Kabilduke/EngineHealth.care.git
  cd
  1. Create a virtual environment and activate it:
   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
  1. Install the required packages:
   pip install requirements.txt
  1. 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.