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PholohoHlaha/Lesotho-Car-adviser-Model

Record type:

model
Creator:
Pho
Host:
This AI model advises a buyer on the condition of a car based on several categorical features. This project can be extended to include additional features, such as scanning an engine to determine its duration, making it useful for every Mosotho buying a vehicle from dealers. Car Adviser AI Model Overview This AI model advises a buyer on the condition of a car based on several categorical features. It uses three types of Naive Bayes classifiers: CategoricalNB, GaussianNB, and MixedNB, to predict the state of the car. This project can be extended to include additional features, such as scanning an engine to determine its duration, making it useful for every Mosotho buying a vehicle from dealers. Features CategoricalNB: Handles categorical features. GaussianNB: Handles continuous features. MixedNB: Handles a mix of categorical and continuous features. Interactive Input: Allows users to input car features and get a prediction on the car's condition. Accuracy Reporting: Provides accuracy of each classifier on test data. Requirements Python 3.x pandas scikit-learn mixed-naive-bayes Installation Step-by-Step Installation 1. Clone the Repository sh git clone github.com cd car-adviser-ai 2. Create a Virtual Environment It's a good practice to create a virtual environment to manage dependencies. sh python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate` 3. Install Required Packages sh pip install pandas scikit-learn mixed-naive-bayes 4. The dataset is called car.data Ensure you have the above dataset for training and testing the model. 5. Run the Model Execute the Python script to train the classifiers and make predictions. sh python car_adviser.py Installation on Specific Operating Systems On Linux Install Python and Pip: sh sudo apt update sudo apt install python3 python3-pip Follow the general installation steps above from cloning the repository to running the model. On Windows Install Python: Download and install Python from the official website. Follow the general installation steps above from cloning the repository to running the model. On macOS Install Homebrew (i …