Link: [https://car-price-pred.herokuapp.com/] CAR_PRICE_PREDICTION
This is a simple car price prediction trained on random forest regressor. Saved model (car_model.pkl) take year, showroom price, km driven, no of owner, fuel type, transmission type and dealer/individual as input and predict output as current price expected.
I spend my most of the time in solving kaggle competitions, trying to improve accuracy of models. But I am not gettting confidence in this domain then in live streaming of Krish Naik sir he said try to build complete end-to-end project.
This project is divided into three part:
- Training a machine learning model using random forest regressor. (car_price_prediction.py)
- Building a Flask web app.
- Hosting app on Heroku.
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| Gaurav Singh |
Apache license Copyright 2020 Gaurav Singh
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.