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Car_Price_Detection_System

Car Price Detection System This is a detection algorithm made using Linear regression and Random Forest Regressor. I got an R2 score of 0.63 using Linear regression and 0.67 using Radom Forest Regressor. The dataset I used is from Kaggle, which is also attached here.

The Dataset Screenshot 2023-08-27 053435

Dataset after dropping unnecessary features Screenshot 2023-08-27 053457

Brand VS Price Graph Screenshot 2023-08-27 053512

Stae VS Price Graph Screenshot 2023-08-27 053524

Number of cars sold in each brand

Screenshot 2023-08-27 053540

Number of cars sold in each state

Screenshot 2023-08-27 053600

Screenshot 2023-08-27 053607

One Hot Encoding to convert text data to numerical Screenshot 2023-08-27 053650

RMS score for Linear Regression Screenshot 2023-08-27 053724

RMS score for Random Forest Regressor Screenshot 2023-08-27 053731