A Regression based ML model for prediction of car prices in market

“We currently estimate the average transaction price of a new vehicle in the U.S. to decline by around 2.5% to 5% year-over-year in 2023, supported by increasing inventory availability as supply constraints ease and as automakers produce more lower-end models equipped with fewer high-end features.

Revolutionary project alert! 🚀🚗 Utilizing Jupiter Notebook and web development, my app predicts car prices accurately based on vital data like company, model, year, fuel, and kilometers. Empowering car buyers, sellers, and enthusiasts with smart estimates. 💲📊

Deployment of used car price predictive model on heroku https://used-car-seling-price.herokuapp.com/

Car Price Prediction using Regression

Model Linear Regression

This project project on pre-owned car analysis provides comprehensive insights into the secondary automotive market using POWER BI. By analyzing factors such as car age, selling prices, and present values, it enables users to identify trends, pricing strategies, and market opportunities within the used car industry.

Built a car price prediction from Kaggle dataset solution using Linear Regression and also Lasso Regression

This project is designed to estimate a car price range suitable for customers based on their financial information. By inputting details such as age, salary, and net worth, the app calculates and advises a car price range tailored to the customer.