A ML web application that predicts the market price of a car for a seller that has no idea how much to sell, and a buyer that doesn't know how much to budget, based on given information.
Car price predictor still runs on an accuracy of 55%.
Data were gotten from Cheki
-
assets (frontend)
-
Cores
- finalized_car_model.sav //the trained model
- Carmodel.py //loads the model from the saved file for use
- new_cars_data.csv //the cleaned data that was used in training the model
- TransformIN.py //module for transforming categorical input variables into integers
-
car_names.php //An array of all available car names in the data_
-
data.json //for transfering inputs between PHP & Python
-
index.php //homepage
-
predict.php //gets all inputs and run python script
-
output.php //shows output returned from python script
-
script.py //gets input and do the prediction
%20(2).png)
.png)