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Car Price Prediction ML Model & Deployment

General info

AI App To Predict The Price Of Used Car Based On There Condition And No Of Owners And Many Other Things. Technology used are python machine learning where I have used random forest with 88% accuracy. users data will be stored as list and using flask that list of inputs will be provided to the .pkl file which is our trained model. and the result will be revert back to users screen.

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Technologies used

  • Python
  • Machine Learning - RF
  • Flask
  • HTML

Dataset

https://www.kaggle.com/lokkagle/car-price-estimation

How to execute

Step 1 : download open and make a separate environment for this.

Step 2 : requirements.txt is provided, install it using "pip install -r requirements.txt" command.

Step 3 : run the main python file.

License

This project is licensed under the Apache-2.0 License.

Deployment

https://car-price-prediction-cei2.onrender.com/

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📱 ✅This repository contains all the necessary files which is required to make this project run.📱 ✅

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