Pre Owned Car Price Predictor

[SimranShaikh20]

Overview
This project aims to predict the prices of Pre-Owend cars using machine learning algorithms. By analyzing various features such as make, model, year, and condition, the predictor provides users with estimated prices for used cars.

Features
Dataset: The project utilizes a dataset containing information about Pre-Owend cars, including attributes such as make, model, year, and price.
Machine Learning Model: A machine learning model is trained on the dataset to predict car prices based on input features.

Technologies Used
Python
Machine Learning
Scikit-learn
Pandas
Numpy
Matplotlib
Seaborn

Data Sources:
The dataset was obtained from Kaggle and is publicly accessible.
The data was not fully clean. I was performed preprocessing for analysis.
All dataset files are included within the project repository.

Model Training
The machine learning model is trained using Linear Regression algorithm on the dataset. It achieves upto 86% accuracy on the test set.

@yashasvini121 pls assign me this issue i will work on it !

[SimranShaikh20]

@yashasvini121 can you pls assign me this task so i will work further as this event will closed soon!

[yashasvini121]

Assigned @SimranShaikh20

[SimranShaikh20]

Thanks @yashasvini121