Cohdhed/Used-car-price-prediction-app-Nigeria-based-

A machine learning project aimed at predicting the prices of both foreign and locally used cars in Nigeria. This project leverages data scraping, preprocessing, data analysis and machine learning techniques to develop an accurate pricing model, offering valuable insights to car buyers and sellers in the Nigerian automotive market. # Used Car Price Prediction (Nigeria) ## Overview Welcome to the Used Car Price Prediction project, designed to provide accurate pricing estimates for both foreign and locally used cars in Nigeria. Leveraging machine learning techniques, this project aims to assist car buyers and sellers in making informed decisions in the Nigerian automotive market. ## Key Features - **Data Scraping:** The project employs web scraping techniques to collect comprehensive car pricing data. - **Data Preprocessing:** The dataset undergoes a thorough cleaning process, addressing missing values and treating anomalies. - **Data Analysis:** Exploratory Data Analysis (EDA) is conducted to extract valuable insights from the dataset. - **Machine Learning:** The XGBoost Regressor algorithm is utilized to build a predictive pricing model, enhancing accuracy. - **Evaluation:** Model performance is assessed using metrics such as RMSE (Root Mean Squared Error), MAE (Mean Absolute Error), and R-squared. - **Deployment:** The project has been successfully deployed, allowing users to interact with the predictive model. Visit the deployed app to experience real-time used car price predictions based on the insights gained from the project. Explore the Deployed App Feel free to dive into the notebooks to gain insights into the development process. Your engagement and feedback contribute to the ongoing improvement of this project. Thank you for exploring the Used Car Price Prediction project!