Car-Price-Prediction

Overview

This application predicts the price of a car based on few inputs. For eg: Transmission type,Present price,No of owners,Fuel type etc.

Dataset used consists of 301 records with 8 independent features.
Algorithms and Technologies used: Random Forest ,Python ,Jupyter Notebook ,Flask.
Completed End-to-End implementation by creating a Web App using Flask

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
static		static
templates		templates
Procfile		Procfile
README.md		README.md
app.py		app.py
car_prediction.ipynb		car_prediction.ipynb
car_prediction_model.pkl		car_prediction_model.pkl
requirements.txt		requirements.txt