This repository contains a linear regression model that accurately predicts the mileage of used cars. The model has been built by leveraging input data and following a structured data analysis process. This readme file provides an overview of the project.
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Objective: The primary objective of this project is to predict the mileage of used cars based on various input features.
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Model: We have implemented a linear regression model for this task. Linear regression is a simple and effective method for predicting numeric values.
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Data Cleaning and Preparation:
- Led the data cleaning and preparation processes to ensure high data quality and reliability for analysis.
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Exploratory Data Analysis (EDA):
- Conducted thorough EDA to uncover insights and patterns in the dataset. This step helped us understand the relationships between the input features and the target variable (mileage).
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Model Training:
- Successfully trained the linear regression model, achieving an impressive accuracy rate of 70%.