https://github.com/saravanansuriya/cardekho-used-car-price-prediction

The project aim is to build a machine learning model that offers users to find current valuations for used cars.
https://github.com/saravanansuriya/cardekho-used-car-price-prediction

data-analytics data-cleaning data-preprocessing machine-learning-algorithms python-script streamlit-webapp

Last synced: about 2 months ago
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The project aim is to build a machine learning model that offers users to find current valuations for used cars.

• Host: GitHub
• URL: https://github.com/saravanansuriya/cardekho-used-car-price-prediction
• Owner: SaravananSuriya
• Created: 2024-02-23T16:15:42.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-02-25T08:38:26.000Z (11 months ago)
• Last Synced: 2024-02-26T08:39:41.745Z (11 months ago)
• Topics: data-analytics, data-cleaning, data-preprocessing, machine-learning-algorithms, python-script, streamlit-webapp
• Language: Jupyter Notebook
• Homepage:
• Size: 8.31 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CarDekho-Used-Car-Price-Prediction

The project aim is to build a machine learning model that offers users to find current valuations for used cars.

**Project title:** CarDekho Used Car Price Prediction.

**Technologies:** Python Scripting, Data Cleaning, Exploratory Data Analysis (EDA), Visualization and Machine Learning.

**Domain:** Automobile.

**Dataset:** [data link](https://drive.google.com/drive/folders/16U7OH7URsCW0rf91cwyDqEgd9UoeZAJh)

**Feature Description Link:** [Features](https://docs.google.com/document/d/1hxW7IvCX5806H0IsG2Zg9WnVIpr2ZPueB4AElMTokGs/edit)

**Data Collected From:** [Car Dheko](https://www.cardekho.com/usedCars)

**Linkedin URL :** https://www.linkedin.com/in/saravanan-b-241468269/details/projects/

**Problem Statement:**

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.

**Results:**

The culmination of this project is a robust data science solution designed to accurately predict used car prices based on a comprehensive analysis of a diverse dataset. By incorporating key features such as car model, number of owners, age, mileage, fuel type, kilometers driven, features, and location, the developed machine learning model provides users with a powerful tool for obtaining precise valuations of used cars. The solution stands as a testament to the successful integration of advanced predictive modeling techniques, enabling a user-friendly interface that empowers individuals seeking up-to-date and reliable information on the current market values of used cars. This project not only addresses the complexities associated with pricing in the used car market but also serves as a valuable resource for buyers, sellers, and industry professionals, facilitating more informed decision-making processes.