CarDekho Used Car Price Prediction-Vehicle_Resale_Price_Prediction The primary objective of is project is to create a data science solution for predicting used car prices accurately by analyzing a diverse dataset including car model, no. of owners, age, mileage, fuel type, kilometers driven, features and location. The aim is to build a machine learning model that offers users to find current valuations for used cars.
Data Understanding The Dataset contains multiple excel files, each represents its city, columns in each excel gives you an overview of each car, its details, specification and available features.
Data Collected From: CarDekho Dataset Link: Dataset Feature Description Link: Features
Approach: Import data from all excel files Examine the structure of each dataset component (New Car Detail, New Car Overview, etc.). Check for missing values, outliers, data types and other statistical inference. Handle Missing Values Feature Engineering Encode categorical variables using suitable techniques. Normalization/Scaling Exploratory Data Analysis Choose regression models suitable for predicting continuous values Model Evaluation Fine-tune Hyperparameters Feature Importance GUI - Streamlit