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Predicting the Car prices based on its features and to help maintain transparency between car sellers and buyers. We can use the website to check the car price without third party interaction.

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Afrid1045/Car_Price_Prediction

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Car_Price_Prediction

The Dataset for this project can be found as "car_price_prediction.csv" in this zip folder.

Exploratory Data Analysis and processing have been done on the given dataset in the Python file "Exploration_Preprocessing.ipynb".

Another file was created with cleaned data and selected features, "Model_Features.csv".

The rest of the process and model building has been done on this dataset in the given Python file "Modeling_Evaluation.ipynb".

The selected Model has been imported to stream-lit using the "RFR_model.joblib" file.

Setup and code for the Stream-lit app can be found in the file "app.py".

Final UI:

imageimage

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Predicting the Car prices based on its features and to help maintain transparency between car sellers and buyers. We can use the website to check the car price without third party interaction.

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