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Used Car Price Prediction: Multiple Linear Regression

Author: Haider Marouf
Module: Regression Models
Semester: 6
Date: May 26, 2024

Description

This project builds a multiple linear regression model to predict used car prices based on features such as year of manufacture, kilometers driven, vehicle dimensions, fuel tank capacity, engine power, torque, transmission type, and drivetrain configuration. The workflow includes:

  1. Data Preprocessing (preprocessing.ipynb)
  2. Exploratory Visualization (visualization.ipynb)
  3. Model Building & Evaluation (model_building.ipynb)

Contact

Email: haider.marouf@nhsm.edu.dz / ensmmarouf@gmail.com
LinkedIn: www.linkedin.com/in/haider-marouf-1149b1316

About

A Multiple Linear Regression approach to forecasting used‑car prices, developed during Semester 6 for the Regression Models module (2023/2024). Includes data preprocessing, exploratory visualization, model building (forward stepwise selection), diagnostic analysis, and real‑time prediction, all presented via Jupyter notebooks.

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