Given a dataset of used cars containing details about the vehicle like year of manufacturing, model, fuel type, odometer, etc, we employed these factors to predict the prices of used cars using Machine Learning Regression Models. The project involved pre-processing of data, cleaning it, visualizing the cleansed data to get insights, and finally applying the ML models like Linear Regression, Random Forest and XGBoost with highest accuracy of 92% achieved by the XGBoost model.
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desaikun1996/Craigslist-Used-Car-Price-Prediction
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Given a dataset of used cars containing details about the vehicle, we will be employing these details to predict car prices using Machine Learning Regression Modelling.
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