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lohith-b-a / EDA-on-Used-Cars-for-a-Dealership-Company

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Exploratory Data Analysis (EDA) on a used car dataset to uncover pricing trends and insights for a dealership. Completed during college using Python and Jupyter Notebook.

python machine-learning statistics analysis linear-regression exploratory-data-analysis jupyter-notebook pandas data-visualization seaborn kaggle matplotlib used-cars feature-engineering data-cleaning dealership automobile price-prediction resale-value car-pricing
  • Updated Jul 18, 2025
  • HTML

artemxdata / Car-Price-Prediction

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Car Price Prediction – Machine learning project for estimating car prices based on technical specifications and market data. The goal is to achieve an RMSE below 2500 by comparing multiple models (Linear Regression, Random Forest, LightGBM) and analyzing training vs. prediction time.

python data-science machine-learning notebook scikit-learn regression supervised-learning lightgbm used-cars rmse car-price-prediction vehicle-pricing
  • Updated Oct 3, 2025
  • Jupyter Notebook

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