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: